World's Best Scientists 2026 revealed!
Christian von Mering

Christian von Mering

Award Badge
Biology and Biochemistry
Switzerland
2023

D-Index & Metrics

Genetics

D-Index
88
Citations
115233
World Ranking
1134
National Ranking
17

Christian von Mering publication distribution in Genetics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Genetics in 2026. The highlighted bar marks where Christian von Mering sits on this spectrum.

45–54 publications: 6 scientists 55–64 publications: 10 scientists 65–74 publications: 35 scientists 75–84 publications: 84 scientists 85–94 publications: 102 scientists 95–104 publications: 151 scientists 105–114 publications: 175 scientists 115–124 publications: 203 scientists 125–134 publications: 217 scientists 135–144 publications: 205 scientists 145–154 publications: 193 scientists 155–164 publications: 188 scientists 165–174 publications: 170 scientists 175–184 publications: 178 scientists 185–194 publications: 164 scientists 195–204 publications: 173 scientists 205–214 publications: 159 scientists 215–224 publications: 134 scientists 225–234 publications: 143 scientists 235–244 publications: 105 scientists 245–254 publications: 114 scientists 255–264 publications: 92 scientists 265–274 publications: 88 scientists 275–284 publications: 87 scientists 285–294 publications: 80 scientists 295–304 publications: 62 scientists 305–314 publications: 75 scientists 315–324 publications: 67 scientists 325–334 publications: 60 scientists 335–344 publications: 52 scientists 345–354 publications: 40 scientists 355–364 publications: 48 scientists 365–374 publications: 47 scientists 375–384 publications: 46 scientists 385–394 publications: 31 scientists 395–404 publications: 27 scientists 405–414 publications: 40 scientists 415–424 publications: 30 scientists 425–434 publications: 43 scientists 435–444 publications: 29 scientists 445–454 publications: 14 scientists 455–464 publications: 28 scientists 465–474 publications: 21 scientists 475–484 publications: 21 scientists 485–494 publications: 22 scientists 495–504 publications: 17 scientists 505–514 publications: 12 scientists 515–524 publications: 11 scientists 525–534 publications: 8 scientists 535–544 publications: 8 scientists 545–554 publications: 14 scientists 555–564 publications: 4 scientists 565–574 publications: 11 scientists 575–584 publications: 5 scientists 585–594 publications: 11 scientists 595–604 publications: 12 scientists 605–614 publications: 7 scientists 615–624 publications: 6 scientists 625–634 publications: 10 scientists 635–644 publications: 9 scientists 645–654 publications: 10 scientists 655–664 publications: 6 scientists 665–674 publications: 6 scientists 675–684 publications: 6 scientists 685–694 publications: 4 scientists 695–702 publications: 6 scientists 703+ publications: 100 scientists
45 publications 703+

This scientist: 163 publications — 36th percentile

36% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 703 publications or more.

Christian von Mering D-index placement in Genetics in 2026

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

40–41 D-Index: 24 scientists 42–43 D-Index: 52 scientists 44–45 D-Index: 84 scientists 46–47 D-Index: 112 scientists 48–49 D-Index: 118 scientists 50–51 D-Index: 141 scientists 52–53 D-Index: 143 scientists 54–55 D-Index: 145 scientists 56–57 D-Index: 179 scientists 58–59 D-Index: 162 scientists 60–61 D-Index: 175 scientists 62–63 D-Index: 191 scientists 64–65 D-Index: 172 scientists 66–67 D-Index: 184 scientists 68–69 D-Index: 164 scientists 70–71 D-Index: 158 scientists 72–73 D-Index: 150 scientists 74–75 D-Index: 136 scientists 76–77 D-Index: 127 scientists 78–79 D-Index: 127 scientists 80–81 D-Index: 111 scientists 82–83 D-Index: 110 scientists 84–85 D-Index: 110 scientists 86–87 D-Index: 84 scientists 88–89 D-Index: 102 scientists 90–91 D-Index: 66 scientists 92–93 D-Index: 72 scientists 94–95 D-Index: 70 scientists 96–97 D-Index: 54 scientists 98–99 D-Index: 60 scientists 100–101 D-Index: 49 scientists 102–103 D-Index: 55 scientists 104–105 D-Index: 45 scientists 106–107 D-Index: 42 scientists 108–109 D-Index: 28 scientists 110–111 D-Index: 39 scientists 112–113 D-Index: 25 scientists 114–115 D-Index: 31 scientists 116–117 D-Index: 29 scientists 118–119 D-Index: 34 scientists 120–121 D-Index: 29 scientists 122–123 D-Index: 29 scientists 124–125 D-Index: 18 scientists 126–127 D-Index: 27 scientists 128–129 D-Index: 22 scientists 130–131 D-Index: 16 scientists 132–133 D-Index: 11 scientists 134–135 D-Index: 17 scientists 136–137 D-Index: 12 scientists 138–139 D-Index: 21 scientists 140–141 D-Index: 4 scientists 142–143 D-Index: 9 scientists 144–145 D-Index: 14 scientists 146–147 D-Index: 6 scientists 148–149 D-Index: 10 scientists 150–151 D-Index: 7 scientists 152–153 D-Index: 9 scientists 154–155 D-Index: 8 scientists 156–157 D-Index: 8 scientists 158–159 D-Index: 9 scientists 160+ D-Index: 96 scientists
40 D-Index 160+

This scientist: 88 D-Index — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 160 D-Index or more.

Research.com Recognitions

  • 2023 - Research.com Biology and Biochemistry in Switzerland Leader Award

Overview

Christian von Mering is affiliated with the University of Zurich in Switzerland. Their research primarily falls within the field of Biochemistry, Genetics and Molecular Biology, with a strong focus on Molecular Biology. They have contributed extensively to topics such as Genomics and Phylogenetic Studies, Bioinformatics and Genomic Networks, and Gut microbiota and health.

The scientist's work covers several subfields including Ecology, Cancer Research, Genetics, and Spectroscopy. Their scholarly output includes analyses that involve RNA and protein synthesis mechanisms, Microbial Community Ecology and Physiology, Gene expression and cancer classification, as well as advanced proteomics techniques and applications.

Christian von Mering has published frequently in a number of scientific venues. These include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Nucleic Acids Research
  • Nature Communications
  • Zenodo (CERN European Organization for Nuclear Research)
  • Nature

Collaborations have been a notable aspect of their career. Frequent co-authors comprise:

  • Damian Szklarczyk
  • Lukas Malfertheiner
  • João F. Matias Rodrigues
  • Annika L Gable
  • Peer Bork

Among recent publications involving or related to their research are:

  • "The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets," 2020, Nucleic Acids Research
  • "The STRING database in 2023: protein-protein association networks and functional enrichment analyses for any sequenced genome of interest," 2022, Nucleic Acids Research
  • "Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution," 2021, Kent Academic Repository (University of Kent)
  • "Analyses of non-coding somatic drivers in 2,658 cancer whole genomes," 2020, Nature
  • "Correction to 'The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets'," 2021, Nucleic Acids Research

Best Publications

  • STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets.

    Damian Szklarczyk;Annika L. Gable;David Lyon;Alexander Junge

  • STRING v10: protein–protein interaction networks, integrated over the tree of life

    Damian Szklarczyk;Andrea Franceschini;Stefan Wyder;Kristoffer Forslund

  • The STRING database in 2021: customizable protein-protein networks, and functional characterization of user-uploaded gene/measurement sets.

    Damian Szklarczyk;Annika L. Gable;Katerina C. Nastou;David Lyon

  • The STRING database in 2017: quality-controlled protein-protein association networks, made broadly accessible.

    Damian Szklarczyk;John H. Morris;Helen Cook;Michael Kuhn

  • STRING v9.1: protein-protein interaction networks, with increased coverage and integration

    Andrea Franceschini;Damian Szklarczyk;Sune Frankild;Michael Kuhn

  • eggNOG 5.0: a hierarchical, functionally and phylogenetically annotated orthology resource based on 5090 organisms and 2502 viruses.

    Jaime Huerta-Cepas;Damian Szklarczyk;Davide Heller;Ana Hernández-Plaza

  • The STRING database in 2011: functional interaction networks of proteins, globally integrated and scored

    Damian Szklarczyk;Andrea Franceschini;Michael Kuhn;Milan Simonovic

  • Pan-cancer analysis of whole genomes

    Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart

  • Comparative assessment of large-scale data sets of protein-protein interactions.

    Christian von Mering;Roland Krause;Berend Snel;Michael Cornell

  • Fast Genome-Wide Functional Annotation through Orthology Assignment by eggNOG-Mapper

    Jaime Huerta-Cepas;Kristoffer Forslund;Luis Pedro Coelho;Damian Szklarczyk;Damian Szklarczyk

  • STRING 8—a global view on proteins and their functional interactions in 630 organisms

    Lars J Jensen;Michael Kuhn;Manuel Stark;Samuel Chaffron

  • Sequence and comparative analysis of the chicken genome provide unique perspectives on vertebrate evolution

    Ladeana W. Hillier;Webb Miller;Ewan Birney;Wesley Warren

  • STRING: a database of predicted functional associations between proteins.

    Christian von Mering;Martijn A. Huynen;Daniel Jaeggi;Steffen Schmidt

  • eggNOG 4.5: a hierarchical orthology framework with improved functional annotations for eukaryotic, prokaryotic and viral sequences

    Jaime Huerta-Cepas;Damian Szklarczyk;Damian Szklarczyk;Kristoffer Forslund;Helen Cook

  • Comparative Metagenomics of Microbial Communities

    Susannah Green Tringe;Christian von Mering;Arthur Kobayashi;Asaf A. Salamov

  • STRING: known and predicted protein-protein associations, integrated and transferred across organisms

    Christian von Mering;Lars Juhl Jensen;Berend Snel;Sean D. Hooper

  • Toward Automatic Reconstruction of a Highly Resolved Tree of Life

    Francesca D. Ciccarelli;Tobias Doerks;Christian von Mering;Christopher J. Creevey

  • STITCH 5: augmenting protein–chemical interaction networks with tissue and affinity data

    Damian Szklarczyk;Alberto Santos;Christian von Mering;Lars Juhl Jensen

  • Salmonella enterica serovar typhimurium exploits inflammation to compete with the intestinal microbiota

    Bärbel Stecher;Riccardo Robbiani;Alan W. Walker;Astrid M. Westendorf

  • Immunity-Related Genes and Gene Families in Anopheles gambiae

    George K. Christophides;Evgeny Zdobnov;Carolina Barillas-Mury;Ewan Birney

Frequent Co-Authors

Peer Bork
Peer Bork European Molecular Biology Laboratory
Jaime Huerta-Cepas
Jaime Huerta-Cepas Technical University of Madrid
Lars Juhl Jensen
Lars Juhl Jensen University of Copenhagen
Mark D. Robinson
Mark D. Robinson University of Zurich
Evgeny M. Zdobnov
Evgeny M. Zdobnov Swiss Institute of Bioinformatics
Ivica Letunic
Ivica Letunic European Bioinformatics Institute
Jernej Ule
Jernej Ule The Francis Crick Institute

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Genetics isn’t limited to traditional degree programs. Many students start with foundational allied health qualifications, like those offered by medical billing and coding online schools. These credentials can serve as a stepping stone to more advanced careers within genetics and healthcare.

If you’re eager to accelerate your journey, consider a fast track bachelor's degree online. These programs offer intensive coursework, letting you complete your studies sooner and move into the workforce or further education more quickly.

For those balancing other commitments, a self paced online degree provides added flexibility. Learn at your own speed without compromising on the quality or scope of your education.

Additionally, there are many universities with no application fee, making the admissions process more accessible and budget-friendly for aspiring genetics students.

Best Scientists Citing Christian von Mering

Trending Scientists

Recently Published Articles