World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
36
Citations
4236
World Ranking
9075
National Ranking
38

Peter Kiss publication distribution in Neuroscience in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Neuroscience in 2026. The highlighted bar marks where Peter Kiss sits on this spectrum.

38–47 publications: 18 scientists 48–57 publications: 79 scientists 58–67 publications: 193 scientists 68–77 publications: 323 scientists 78–87 publications: 406 scientists 88–97 publications: 452 scientists 98–107 publications: 539 scientists 108–117 publications: 505 scientists 118–127 publications: 522 scientists 128–137 publications: 469 scientists 138–147 publications: 456 scientists 148–157 publications: 459 scientists 158–167 publications: 397 scientists 168–177 publications: 383 scientists 178–187 publications: 350 scientists 188–197 publications: 302 scientists 198–207 publications: 306 scientists 208–217 publications: 262 scientists 218–227 publications: 242 scientists 228–237 publications: 220 scientists 238–247 publications: 203 scientists 248–257 publications: 174 scientists 258–267 publications: 176 scientists 268–277 publications: 175 scientists 278–287 publications: 125 scientists 288–297 publications: 116 scientists 298–307 publications: 127 scientists 308–317 publications: 128 scientists 318–327 publications: 99 scientists 328–337 publications: 89 scientists 338–347 publications: 78 scientists 348–357 publications: 96 scientists 358–367 publications: 66 scientists 368–377 publications: 59 scientists 378–387 publications: 65 scientists 388–397 publications: 54 scientists 398–407 publications: 48 scientists 408–417 publications: 49 scientists 418–427 publications: 34 scientists 428–437 publications: 31 scientists 438–447 publications: 30 scientists 448–457 publications: 31 scientists 458–467 publications: 36 scientists 468–477 publications: 40 scientists 478–487 publications: 35 scientists 488–497 publications: 30 scientists 498–507 publications: 23 scientists 508–517 publications: 26 scientists 518–527 publications: 20 scientists 528–537 publications: 23 scientists 538–547 publications: 20 scientists 548–557 publications: 20 scientists 558–567 publications: 17 scientists 568–577 publications: 14 scientists 578–587 publications: 20 scientists 588–597 publications: 20 scientists 598–607 publications: 19 scientists 608–617 publications: 18 scientists 618–627 publications: 17 scientists 628–637 publications: 11 scientists 638–647 publications: 11 scientists 648–657 publications: 11 scientists 658–667 publications: 8 scientists 668–677 publications: 7 scientists 678–687 publications: 11 scientists 688–697 publications: 10 scientists 698–707 publications: 4 scientists 708–717 publications: 6 scientists 718–727 publications: 5 scientists 728–737 publications: 5 scientists 738–747 publications: 9 scientists 748–757 publications: 9 scientists 758–767 publications: 3 scientists 768–777 publications: 7 scientists 778–787 publications: 7 scientists 788–797 publications: 6 scientists 798–807 publications: 2 scientists 808–817 publications: 2 scientists 818–827 publications: 7 scientists 828–837 publications: 0 scientists 838–847 publications: 9 scientists 848–857 publications: 3 scientists 858–867 publications: 1 scientists 868–877 publications: 3 scientists 878–886 publications: 6 scientists 887+ publications: 100 scientists
38 publications 887+

This scientist: 120 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 887 publications or more.

Peter Kiss D-index placement in Neuroscience in 2026

The chart shows the D-index (discipline H-index) distribution of Neuroscience scientists ranked by Research.com in 2026. The highlighted bar marks where Peter Kiss sits on this spectrum.

30–31 D-Index: 42 scientists 32–33 D-Index: 172 scientists 34–35 D-Index: 296 scientists 36–37 D-Index: 435 scientists 38–39 D-Index: 459 scientists 40–41 D-Index: 456 scientists 42–43 D-Index: 467 scientists 44–45 D-Index: 478 scientists 46–47 D-Index: 512 scientists 48–49 D-Index: 435 scientists 50–51 D-Index: 425 scientists 52–53 D-Index: 418 scientists 54–55 D-Index: 392 scientists 56–57 D-Index: 357 scientists 58–59 D-Index: 334 scientists 60–61 D-Index: 328 scientists 62–63 D-Index: 260 scientists 64–65 D-Index: 278 scientists 66–67 D-Index: 239 scientists 68–69 D-Index: 250 scientists 70–71 D-Index: 210 scientists 72–73 D-Index: 200 scientists 74–75 D-Index: 189 scientists 76–77 D-Index: 170 scientists 78–79 D-Index: 146 scientists 80–81 D-Index: 113 scientists 82–83 D-Index: 126 scientists 84–85 D-Index: 100 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 99 scientists 90–91 D-Index: 84 scientists 92–93 D-Index: 85 scientists 94–95 D-Index: 72 scientists 96–97 D-Index: 76 scientists 98–99 D-Index: 45 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 43 scientists 104–105 D-Index: 32 scientists 106–107 D-Index: 45 scientists 108–109 D-Index: 50 scientists 110–111 D-Index: 32 scientists 112–113 D-Index: 39 scientists 114–115 D-Index: 32 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 27 scientists 120–121 D-Index: 19 scientists 122–123 D-Index: 23 scientists 124–125 D-Index: 27 scientists 126–127 D-Index: 16 scientists 128–129 D-Index: 24 scientists 130–131 D-Index: 13 scientists 132–133 D-Index: 21 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 14 scientists 138–139 D-Index: 15 scientists 140–141 D-Index: 10 scientists 142–143 D-Index: 10 scientists 144–145 D-Index: 13 scientists 146–147 D-Index: 9 scientists 148–149 D-Index: 8 scientists 150–151 D-Index: 6 scientists 152–153 D-Index: 6 scientists 154–155 D-Index: 7 scientists 156–157 D-Index: 7 scientists 158–159 D-Index: 10 scientists 160–161 D-Index: 4 scientists 162 D-Index: 8 scientists 163+ D-Index: 100 scientists
30 D-Index 163+

This scientist: 36 D-Index — 7th percentile

7% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 163 D-Index or more.

Overview

Peter Kiss is affiliated with the University of Pecs in Hungary and has contributed to research across multiple disciplines, primarily focusing on computer science and engineering. Their academic output demonstrates engagement in both fundamental and applied studies, reflecting interdisciplinary interests bridging computational theory with biological and physiological topics.

The main fields of study for Peter Kiss include:

  • Computer Science
  • Engineering

Within these domains, the notable subfields of research cover:

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Mechanical Engineering

The primary topics addressed in their work encompass:

  • Complexity and Algorithms in Graphs
  • Neuropeptides and Animal Physiology
  • Cardiovascular, Neuropeptides, and Oxidative Stress Research
  • Privacy-Preserving Technologies in Data
  • Caching and Content Delivery
  • Pain Mechanisms and Treatments
  • Distributed systems and fault tolerance

Peter Kiss has published in various scientific outlets, with their most frequent publication venues including:

  • arXiv (Cornell University)
  • Publicationes Mathematicae Debrecen
  • International Journal of Molecular Sciences
  • Műszaki Tudományos Közlemények
  • Annals of Anatomy - Anatomischer Anzeiger

Frequent collaborations are recorded with several researchers, listing:

  • Sayan Bhattacharya
  • Dóra Reglődi
  • Thatchaphol Saranurak
  • Mihály Katona
  • Andrea Tamás

The following represent some of the recent papers authored or co-authored by Peter Kiss, showcasing the diversity of their research interests:

  • The legal and ethical framework governing body donation in Europe - 2nd update on current practice (2023), published in Annals of Anatomy - Anatomischer Anzeiger
  • Protective Effects of PACAP in a Rat Model of Diabetic Neuropathy (2021), published in International Journal of Molecular Sciences
  • Influence of consolidating process on the properties of composites from thermosetting carbon fiber reinforced tapes (2022), published in Polymer Composites
  • Large- and Small-Scale Environmental Factors Drive Distributions of Ant Mound Size Across a Latitudinal Gradient (2020), published in Insects
  • Prenatal cigarette smoke exposure slightly alters neurobehavioral development in neonatal rats: Implications for developmental origins of health and disease (DoHAD) (2020), published in Physiology International

Best Publications

  • Neurological reflexes and early motor behavior in rats subjected to neonatal hypoxic-ischemic injury.

    Andrea Lubics;Dóra Reglodi;Andrea Tamás;Péter Kiss

  • Review on the protective effects of PACAP in models of neurodegenerative diseases in vitro and in vivo.

    D. Reglodi;P. Kiss;A. Lubics;A. Tamas

  • The pha gene cluster of Rhizobium meliloti involved in pH adaptation and symbiosis encodes a novel type of K^+ efflux system

    Péter Putnoky;Attila Kereszt;Tatsunosuke Nakamura;Gabriella Endre

  • PACAP is an Endogenous Protective Factor—Insights from PACAP-Deficient Mice

    D. Reglodi;P. Kiss;K. Szabadfi;T. Atlasz

  • PACAP suppresses dry eye signs by stimulating tear secretion

    Tomoya Nakamachi;Hirokazu Ohtaki;Tamotsu Seki;Sachiko Yofu

  • Protective effects of pituitary adenylate cyclase activating polypeptide in endothelial cells against oxidative stress-induced apoptosis.

    Rácz B;Gasz B;Borsiczky B;Gallyas F

  • Effects of pituitary adenylate cyclase activating polypeptide in retinal degeneration induced by monosodium-glutamate.

    Andrea Tamás;Róbert Gábriel;Boglárka Rácz;Viktória Dénes

  • Protective effects of the neuropeptide PACAP in diabetic retinopathy

    Krisztina Szabadfi;Tamas Atlasz;Peter Kiss;Dora Reglodi

  • The neuroprotective effects of PACAP in monosodium glutamate-induced retinal lesion involve inhibition of proapoptotic signaling pathways

    Boglárka Rácz;Ferenc Gallyas;Péter Kiss;Gábor Tóth

  • PACAP promotes neuron survival in early experimental diabetic retinopathy

    Krisztina Szabadfi;Aliz Szabo;Peter Kiss;Dora Reglodi

  • Evaluation of the protective effects of PACAP with cell-specific markers in ischemia-induced retinal degeneration.

    Tamas Atlasz;Krisztina Szabadfi;Peter Kiss;Andrea Tamas

  • PKA-Bad-14-3-3 and Akt-Bad-14-3-3 signaling pathways are involved in the protective effects of PACAP against ischemia/reperfusion-induced cardiomyocyte apoptosis.

    Rácz B;Gasz B;Gallyas F;Kiss P

  • ENOD12, an early nodulin gene, is not required for nodule formation and efficient nitrogen fixation in alfalfa.

    Gyula Csanadi;Judit Szecsi;Peter Kalo;Peter Kiss

  • Pituitary adenylate cyclase activating polypeptide is protective in bilateral carotid occlusion-induced retinal lesion in rats

    Tamás Atlasz;Norbert Babai;Péter Kiss;Dóra Reglodi

  • Effects of maternal separation on the neurobehavioral development of newborn Wistar rats.

    Jozsef Farkas;Dora Reglodi;Balazs Gaszner;Donat Szogyi

  • Protection Against Chronic Hypoperfusion-Induced Retinal Neurodegeneration by PARP Inhibition via Activation of PI-3-kinase Akt Pathway and Suppression of JNK and p38 MAP Kinases

    Laszlo Mester;Aliz Szabo;Tamas Atlasz;Krisztina Szabadfi

  • Presence of pituitary adenylate cyclase activating polypeptide-38 in human plasma and milk.

    Rita Borzsei;Laszlo Mark;Andrea Tamas;Terez Bagoly

  • Involvement of ERK and CREB signaling pathways in the protective effect of PACAP in monosodium glutamate-induced retinal lesion.

    Boglarka Rácz;Andrea Tamás;Peter Kiss;Gabor Tóth

  • Effects of pituitary adenylate cyclase activating polypeptide (PACAP) on the PKA-Bad-14-3-3 signaling pathway in glutamate-induced retinal injury in neonatal rats.

    Boglárka Rácz;Ferenc Gallyas;Péter Kiss;Andrea Tamás

  • Colormapping: A non-mathematical procedure for genetic mapping

    G. B. Kiss;A. Kereszt;P. Kiss;Gabriella Endre

  • Mice Deficient in Pituitary Adenylate Cyclase Activating Polypeptide (PACAP) are More Susceptible to Retinal Ischemic Injury In Vivo

    K. Szabadfi;T. Atlasz;P. Kiss;B. Danyadi

Frequent Co-Authors

Dora Reglodi
Dora Reglodi University of Pecs
Andrea Tamas
Andrea Tamas University of Pecs
Hitoshi Hashimoto
Hitoshi Hashimoto Osaka University
Zsuzsanna Helyes
Zsuzsanna Helyes University of Pecs
Seiji Shioda
Seiji Shioda Shonan University of Medical Sciences
Adam Kondorosi
Adam Kondorosi Centre national de la recherche scientifique, CNRS
Eric P. Zorrilla
Eric P. Zorrilla Scripps Research Institute
Balazs Sumegi
Balazs Sumegi University of Pecs
Eva Kondorosi
Eva Kondorosi Institute of Plant Biology
Ferenc Bari
Ferenc Bari University of Szeged

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Related Online Degrees & Career Pathways

Studying neuroscience in the USA can open doors to a variety of rewarding careers in mental health, research, and therapy. For those interested in flexible study options, there are several related online degrees that blend well with neuroscience backgrounds.

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For those who wish to specialize in supporting families and relationships, marriage and family therapy programs online provide courses in counseling strategies, communication, and systems theory that complement neuroscience knowledge.

Exploring related online programs can broaden your expertise and career options within mental health, therapy, and research fields.

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