Noah C. Welker

15 total papers · 1.2k total citations
10 papers, 859 citations indexed

About

Noah C. Welker is a scholar working on Molecular Biology, Cancer Research and Genetics. According to data from OpenAlex, Noah C. Welker has authored 10 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 7 papers in Cancer Research and 3 papers in Genetics. Recurrent topics in Noah C. Welker's work include MicroRNA in disease regulation (4 papers), Inflammatory Bowel Disease (3 papers) and RNA Interference and Gene Delivery (2 papers). Noah C. Welker is often cited by papers focused on MicroRNA in disease regulation (4 papers), Inflammatory Bowel Disease (3 papers) and RNA Interference and Gene Delivery (2 papers). Noah C. Welker collaborates with scholars based in United States, Canada and France. Noah C. Welker's co-authors include Mary P. Bronner, Keith M. Gligorich, Hunter R. Underhill, Sabine Hellwig, Daniel N. Baker, Jacob O. Kitzman, Riza M. Daza, Jay Shendure, Robert Rostomily and Brenda Bass and has published in prestigious journals such as Molecular Cell, Biometrics and PLoS Genetics.

In The Last Decade

Noah C. Welker

10 papers receiving 858 citations

Hit Papers

Fragment Length of Circul... 2016 2026 2019 2022 2016 100 200 300 400

Author Peers

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

Author Last Decade Papers Cites
Noah C. Welker 568 544 174 156 95 10 859
Jennifer C. Finley 300 0.5× 352 0.6× 213 1.2× 184 1.2× 129 1.4× 7 962
Laura M. Sack 328 0.6× 630 1.2× 149 0.9× 74 0.5× 62 0.7× 9 897
Marc J. Prindle 363 0.6× 587 1.1× 155 0.9× 112 0.7× 109 1.1× 11 840
David Brocks 266 0.5× 582 1.1× 143 0.8× 94 0.6× 61 0.6× 14 797
Sebastian Großmann 344 0.6× 396 0.7× 272 1.6× 59 0.4× 89 0.9× 7 829
Chad A. Malloff 204 0.4× 493 0.9× 81 0.5× 146 0.9× 56 0.6× 15 818
Simeon Springer 235 0.4× 265 0.5× 185 1.1× 151 1.0× 38 0.4× 17 771
Lauren R Zeitels 371 0.7× 484 0.9× 84 0.5× 30 0.2× 131 1.4× 7 827
P. J. Fialkow 182 0.3× 266 0.5× 203 1.2× 64 0.4× 98 1.0× 10 735
Yixiao Gong 155 0.3× 569 1.0× 189 1.1× 97 0.6× 44 0.5× 14 908

Countries citing papers authored by Noah C. Welker

Since Specialization
Citations

This map shows the geographic impact of Noah C. Welker'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 Noah C. Welker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Noah C. Welker more than expected).

Fields of papers citing papers by Noah C. Welker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Noah C. Welker. 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 Noah C. Welker. The network helps show where Noah C. Welker may publish in the future.

Co-authorship network of co-authors of Noah C. Welker

This figure shows the co-authorship network connecting the top 25 collaborators of Noah C. Welker. A scholar is included among the top collaborators of Noah C. Welker 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 Noah C. Welker. Noah C. Welker 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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