World's Best Scientists 2026 revealed!

D-Index & Metrics

Medicine

D-Index
83
Citations
22404
World Ranking
15732
National Ranking
828

Stephan G. Nekolla publication distribution in Medicine in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Medicine in 2026. The highlighted bar marks where Stephan G. Nekolla sits on this spectrum.

101–120 publications: 5 scientists 121–140 publications: 26 scientists 141–160 publications: 73 scientists 161–180 publications: 155 scientists 181–200 publications: 230 scientists 201–220 publications: 363 scientists 221–240 publications: 487 scientists 241–260 publications: 545 scientists 261–280 publications: 722 scientists 281–300 publications: 768 scientists 301–320 publications: 834 scientists 321–340 publications: 895 scientists 341–360 publications: 922 scientists 361–380 publications: 838 scientists 381–400 publications: 861 scientists 401–420 publications: 918 scientists 421–440 publications: 806 scientists 441–460 publications: 771 scientists 461–480 publications: 751 scientists 481–500 publications: 713 scientists 501–520 publications: 617 scientists 521–540 publications: 610 scientists 541–560 publications: 537 scientists 561–580 publications: 504 scientists 581–600 publications: 509 scientists 601–620 publications: 396 scientists 621–640 publications: 386 scientists 641–660 publications: 371 scientists 661–680 publications: 340 scientists 681–700 publications: 336 scientists 701–720 publications: 307 scientists 721–740 publications: 259 scientists 741–760 publications: 230 scientists 761–780 publications: 228 scientists 781–800 publications: 217 scientists 801–820 publications: 204 scientists 821–840 publications: 186 scientists 841–860 publications: 177 scientists 861–880 publications: 155 scientists 881–900 publications: 139 scientists 901–920 publications: 145 scientists 921–940 publications: 116 scientists 941–960 publications: 133 scientists 961–980 publications: 91 scientists 981–1,000 publications: 96 scientists 1,001–1,020 publications: 77 scientists 1,021–1,040 publications: 70 scientists 1,041–1,060 publications: 63 scientists 1,061–1,080 publications: 77 scientists 1,081–1,100 publications: 49 scientists 1,101–1,120 publications: 54 scientists 1,121–1,140 publications: 49 scientists 1,141–1,160 publications: 51 scientists 1,161–1,180 publications: 35 scientists 1,181–1,200 publications: 39 scientists 1,201–1,220 publications: 26 scientists 1,221–1,240 publications: 37 scientists 1,241–1,260 publications: 36 scientists 1,261–1,280 publications: 27 scientists 1,281–1,300 publications: 32 scientists 1,301–1,320 publications: 28 scientists 1,321–1,340 publications: 17 scientists 1,341–1,360 publications: 30 scientists 1,361–1,380 publications: 28 scientists 1,381–1,400 publications: 17 scientists 1,401–1,420 publications: 21 scientists 1,421–1,440 publications: 15 scientists 1,441–1,460 publications: 12 scientists 1,461–1,480 publications: 12 scientists 1,481–1,500 publications: 18 scientists 1,501–1,520 publications: 14 scientists 1,521–1,540 publications: 17 scientists 1,541–1,560 publications: 15 scientists 1,561–1,580 publications: 6 scientists 1,581–1,600 publications: 2 scientists 1,601–1,620 publications: 12 scientists 1,621–1,640 publications: 11 scientists 1,641–1,660 publications: 8 scientists 1,661–1,680 publications: 5 scientists 1,681–1,700 publications: 5 scientists 1,701–1,720 publications: 10 scientists 1,721–1,740 publications: 12 scientists 1,741–1,760 publications: 14 scientists 1,761–1,780 publications: 6 scientists 1,781–1,795 publications: 5 scientists 1,796+ publications: 100 scientists
101 publications 1,796+

This scientist: 424 publications — 44th percentile

44% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 1,796 publications or more.

Stephan G. Nekolla D-index placement in Medicine in 2026

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

70–71 D-Index: 226 scientists 72–73 D-Index: 391 scientists 74–75 D-Index: 574 scientists 76–77 D-Index: 730 scientists 78–79 D-Index: 891 scientists 80–81 D-Index: 972 scientists 82–83 D-Index: 1,027 scientists 84–85 D-Index: 1,003 scientists 86–87 D-Index: 960 scientists 88–89 D-Index: 970 scientists 90–91 D-Index: 922 scientists 92–93 D-Index: 839 scientists 94–95 D-Index: 808 scientists 96–97 D-Index: 779 scientists 98–99 D-Index: 668 scientists 100–101 D-Index: 611 scientists 102–103 D-Index: 630 scientists 104–105 D-Index: 513 scientists 106–107 D-Index: 541 scientists 108–109 D-Index: 445 scientists 110–111 D-Index: 429 scientists 112–113 D-Index: 399 scientists 114–115 D-Index: 393 scientists 116–117 D-Index: 318 scientists 118–119 D-Index: 302 scientists 120–121 D-Index: 287 scientists 122–123 D-Index: 255 scientists 124–125 D-Index: 256 scientists 126–127 D-Index: 252 scientists 128–129 D-Index: 230 scientists 130–131 D-Index: 179 scientists 132–133 D-Index: 168 scientists 134–135 D-Index: 163 scientists 136–137 D-Index: 159 scientists 138–139 D-Index: 134 scientists 140–141 D-Index: 134 scientists 142–143 D-Index: 118 scientists 144–145 D-Index: 109 scientists 146–147 D-Index: 106 scientists 148–149 D-Index: 74 scientists 150–151 D-Index: 79 scientists 152–153 D-Index: 80 scientists 154–155 D-Index: 87 scientists 156–157 D-Index: 57 scientists 158–159 D-Index: 74 scientists 160–161 D-Index: 69 scientists 162–163 D-Index: 60 scientists 164–165 D-Index: 53 scientists 166–167 D-Index: 39 scientists 168–169 D-Index: 42 scientists 170–171 D-Index: 32 scientists 172–173 D-Index: 39 scientists 174–175 D-Index: 40 scientists 176–177 D-Index: 28 scientists 178–179 D-Index: 19 scientists 180–181 D-Index: 23 scientists 182–183 D-Index: 31 scientists 184–185 D-Index: 18 scientists 186–187 D-Index: 20 scientists 188–189 D-Index: 22 scientists 190–191 D-Index: 13 scientists 192–193 D-Index: 21 scientists 194–195 D-Index: 12 scientists 196–197 D-Index: 12 scientists 198–199 D-Index: 14 scientists 200–201 D-Index: 15 scientists 202–203 D-Index: 13 scientists 204–205 D-Index: 10 scientists 206–207 D-Index: 8 scientists 208–209 D-Index: 4 scientists 210–211 D-Index: 12 scientists 212–213 D-Index: 11 scientists 214–215 D-Index: 10 scientists 216 D-Index: 4 scientists 217+ D-Index: 98 scientists
70 D-Index 217+

This scientist: 83 D-Index — 24th percentile

24% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 217 D-Index or more.

Overview

Stephan G. Nekolla is affiliated with the Technical University of Munich in Germany. Their research primarily focuses on the field of Medicine, with particular emphasis on Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine, Biomedical Engineering, and Surgery.

The scientist's frequent publication venues include:

  • Nuklearmedizin - NuclearMedicine
  • Journal of Nuclear Cardiology
  • European Journal of Nuclear Medicine and Molecular Imaging
  • Physica Medica
  • Journal of Nuclear Medicine

Research topics covered significantly in their work are:

  • Medical Imaging Techniques and Applications
  • Cardiac Imaging and Diagnostics
  • Advanced X-ray and CT Imaging
  • Advanced MRI Techniques and Applications
  • Radiomics and Machine Learning in Medical Imaging
  • Prostate Cancer Treatment and Research
  • Radiopharmaceutical Chemistry and Applications

Recent papers authored by Stephan G. Nekolla include:

  • Clinical quantitative cardiac imaging for the assessment of myocardial ischaemia, 2020, Nature Reviews Cardiology
  • Cardiac fibroblast activation detected by Ga-68 FAPI PET imaging as a potential novel biomarker of cardiac injury/remodeling, 2020, Journal of Nuclear Cardiology
  • The added value of PSMA PET/MR radiomics for prostate cancer staging, 2021, European Journal of Nuclear Medicine and Molecular Imaging
  • Imaging of cardiac fibroblast activation in a patient after acute myocardial infarction using 68Ga-FAPI-04, 2021, Journal of Nuclear Cardiology
  • Whole-body uptake classification and prostate cancer staging in 68Ga-PSMA-11 PET/CT using dual-tracer learning, 2021, European Journal of Nuclear Medicine and Molecular Imaging

Stephan G. Nekolla has collaborated frequently with other researchers including:

  • Wolfgang Weber
  • Esteban Solari
  • Matthias Eiber
  • Markus Schwaiger
  • Remigiusz Kazimierczyk

Best Publications

  • Performance Measurements of the Siemens mMR Integrated Whole-Body PET/MR Scanner

    Gaspar Delso;Sebastian Fürst;Björn Jakoby;Ralf Ladebeck

  • Assessment of Myocardial Viability With Contrast-Enhanced Magnetic Resonance Imaging Comparison With Positron Emission Tomography

    Christoph Klein;Stephan G. Nekolla;Frank M. Bengel;Mitsuru Momose

  • Tissue Classification as a Potential Approach for Attenuation Correction in Whole-Body PET/MRI: Evaluation with PET/CT Data

    Axel Martinez-Möller;Michael Souvatzoglou;Gaspar Delso;Ralph A. Bundschuh

  • First Clinical Experience with Integrated Whole-Body PET/MR: Comparison to PET/CT in Patients with Oncologic Diagnoses

    Alexander Drzezga;Michael Souvatzoglou;Matthias Eiber;Ambros J. Beer

  • Abciximab in patients with acute ST-segment-elevation myocardial infarction undergoing primary percutaneous coronary intervention after clopidogrel loading: a randomized double-blind trial.

    Julinda Mehilli;Adnan Kastrati;Stefanie Schulz;Stefan Früngel

  • Effect of sympathetic reinnervation on cardiac performance after heart transplantation.

    Frank M. Bengel;Peter Ueberfuhr;Nina Schiepel;Stephan G. Nekolla

  • Mechanical Reperfusion in Patients With Acute Myocardial Infarction Presenting More Than 12 Hours From Symptom Onset: A Randomized Controlled Trial

    Albert Schömig;Julinda Mehilli;David Antoniucci;Gjin Ndrepepa

  • Preoperative Positron Emission Tomographic Viability Assessment and Perioperative and Postoperative Risk in Patients With Advanced Ischemic Heart Disease

    Felix Haas;Christoph J Haehnel;Wolfgang Picker;Stephan Nekolla

  • Detection of significant coronary artery disease by noninvasive anatomical and functional imaging.

    Danilo Neglia;Daniele Rovai;Chiara Caselli;Mikko Pietila

  • Serial Assessment of Sympathetic Reinnervation After Orthotopic Heart Transplantation A Longitudinal Study Using PET and C-11 Hydroxyephedrine

    Frank M. Bengel;Peter Ueberfuhr;Sibylle I. Ziegler;Stephan Nekolla

  • Evaluation of the Novel Myocardial Perfusion Positron-Emission Tomography Tracer 18F-BMS-747158-02 Comparison to 13N-Ammonia and Validation With Microspheres in a Pig Model

    S.G. Nekolla;S. Reder;A. Saraste;T. Higuchi

  • Myocardial salvage after coronary stenting plus abciximab versus fibrinolysis plus abciximab in patients with acute myocardial infarction: a randomised trial.

    Adnan Kastrati;Julinda Mehilli;Josef Dirschinger;Ullrich Schricke

  • Assessment of coronary flow reserve: comparison between contrast-enhanced magnetic resonance imaging and positron emission tomography.

    Tareq Ibrahim;Stephan G. Nekolla;Karin Schreiber;Kenichi Odaka

  • A multi-centre evaluation of eleven clinically feasible brain PET/MRI attenuation correction techniques using a large cohort of patients

    Claes N. Ladefoged;Ian Law;Udunna Anazodo;Keith St. Lawrence

  • Early administration of reteplase plus abciximab vs abciximab alone in patients with acute myocardial infarction referred for percutaneous coronary intervention: a randomized controlled trial.

    Adnan Kastrati;Julinda Mehilli;Klaus Schlotterbeck;Franz Dotzer

  • Reproducibility of polar map generation and assessment of defect severity and extent assessment in myocardial perfusion imaging using positron emission tomography

    Stephan G. Nekolla;Christa Miethaner;Ngoc Nguyen;Sibylle I. Ziegler

  • Therapy-dependent influence of time-to-treatment interval on myocardial salvage in patients with acute myocardial infarction treated with coronary artery stenting or thrombolysis.

    Albert Schömig;Gjin Ndrepepa;Julinda Mehilli;Markus Schwaiger

  • Prediction of Short-Term Cardiovascular Events Using Quantification of Global Myocardial Flow Reserve in Patients Referred for Clinical 82Rb PET Perfusion Imaging

    Kenji Fukushima;Mehrbod S. Javadi;Takahiro Higuchi;Riikka Lautamäki

  • Evaluation of alphavbeta3 integrin-targeted positron emission tomography tracer 18F-galacto-RGD for imaging of vascular inflammation in atherosclerotic mice.

    Iina Laitinen;Antti Saraste;Eliane Weidl;Thorsten Poethko

  • Extent of Cardiac Sympathetic Neuronal Damage Is Determined by the Area of Ischemia in Patients With Acute Coronary Syndromes

    Ichiro Matsunari;Ullrich Schricke;Frank M. Bengel;Hans Ullrich Haase

Frequent Co-Authors

Markus Schwaiger
Markus Schwaiger Technical University of Munich
Frank M. Bengel
Frank M. Bengel Hannover Medical School
Hans-Jürgen Wester
Hans-Jürgen Wester Technical University of Munich
Ernst J. Rummeny
Ernst J. Rummeny Technical University of Munich
Adnan Kastrati
Adnan Kastrati Technical University of Munich
Nassir Navab
Nassir Navab Technical University of Munich
Albert Schömig
Albert Schömig Technical University of Munich
Juhani Knuuti
Juhani Knuuti Turku University Hospital
Julinda Mehilli
Julinda Mehilli Ludwig-Maximilians-Universität München
Wolfgang A. Weber
Wolfgang A. Weber Technical University of Munich

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