David Welch

149 total papers · 5.5k total citations
71 papers, 3.2k citations indexed

About

David Welch is a scholar working on Surgery, Public Health, Environmental and Occupational Health and Sociology and Political Science. According to data from OpenAlex, David Welch has authored 71 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Surgery, 12 papers in Public Health, Environmental and Occupational Health and 11 papers in Sociology and Political Science. Recurrent topics in David Welch's work include Genomics and Phylogenetic Studies (8 papers), COVID-19 epidemiological studies (8 papers) and Organ Transplantation Techniques and Outcomes (5 papers). David Welch is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), COVID-19 epidemiological studies (8 papers) and Organ Transplantation Techniques and Outcomes (5 papers). David Welch collaborates with scholars based in New Zealand, United States and United Kingdom. David Welch's co-authors include Michael P. H. Stumpf, Tina Toni, Natalja Strelkowa, Andreas Ipsen, Alexei J. Drummond, Tanja Stadler, Alexandra Gavryushkina, Richie Poulton, C. Erik Landhuis and Robert J. Hancox and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Bioinformatics.

In The Last Decade

David Welch

68 papers receiving 3.0k citations

Hit Papers

Approximate Bayesian comp... 2008 2026 2014 2020 2008 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
David Welch 563 426 373 361 320 71 3.2k
Aaron A. King 341 0.6× 898 2.1× 586 1.6× 1.0k 2.8× 169 0.5× 89 5.0k
Ian Painter 690 1.2× 814 1.9× 411 1.1× 147 0.4× 144 0.5× 85 2.6k
Vladimir N. Minin 1.0k 1.8× 1.2k 2.7× 267 0.7× 146 0.4× 140 0.4× 65 2.8k
Luca Scrucca 578 1.0× 287 0.7× 56 0.2× 197 0.5× 516 1.6× 54 4.1k
Virgilio Gómez‐Rubio 224 0.4× 290 0.7× 86 0.2× 231 0.6× 283 0.9× 55 4.9k
Rolf Turner 302 0.5× 203 0.5× 143 0.4× 145 0.4× 346 1.1× 41 4.8k
Daniel C. Lee 310 0.6× 223 0.5× 36 0.1× 155 0.4× 710 2.2× 58 5.2k
Mark M. Tanaka 651 1.2× 817 1.9× 20 0.1× 188 0.5× 319 1.0× 94 3.2k
J. N. Darroch 185 0.3× 254 0.6× 133 0.4× 115 0.3× 977 3.1× 66 3.5k
Thomas Petzoldt 280 0.5× 302 0.7× 51 0.1× 200 0.6× 92 0.3× 57 3.1k

Countries citing papers authored by David Welch

Since Specialization
Citations

This map shows the geographic impact of David Welch's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Welch with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Welch more than expected).

Fields of papers citing papers by David Welch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Welch. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Welch. The network helps show where David Welch may publish in the future.

Co-authorship network of co-authors of David Welch

This figure shows the co-authorship network connecting the top 25 collaborators of David Welch. A scholar is included among the top collaborators of David Welch based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with David Welch. David Welch is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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