David C. Fainer

17 total papers · 560 total citations
10 papers, 400 citations indexed

About

David C. Fainer is a scholar working on Genetics, Molecular Biology and Epidemiology. According to data from OpenAlex, David C. Fainer has authored 10 papers receiving a total of 400 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Genetics, 3 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in David C. Fainer's work include Liver Disease Diagnosis and Treatment (2 papers), Iron Metabolism and Disorders (2 papers) and Injury Epidemiology and Prevention (2 papers). David C. Fainer is often cited by papers focused on Liver Disease Diagnosis and Treatment (2 papers), Iron Metabolism and Disorders (2 papers) and Injury Epidemiology and Prevention (2 papers). David C. Fainer collaborates with scholars based in United States, Germany and Nigeria. David C. Fainer's co-authors include Samuel H. Boyer, E. Watson-Williams, Michael A. Naughton and A. C. Ivy and has published in prestigious journals such as Science, Annals of Internal Medicine and Gastroenterology.

In The Last Decade

David C. Fainer

10 papers receiving 317 citations

Author Peers

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

Author						Papers	Cites
David C. Fainer	104	90	80	68	42	10	400
V. Manickavel	118 1.1×	38 0.4×	43 0.5×	87 1.3×	17 0.4×	16	392
Chandra Sekhar Ravuri	123 1.2×	30 0.3×	60 0.8×	40 0.6×	23 0.5×	12	373
Eric Chiles	175 1.7×	48 0.5×	27 0.3×	60 0.9×	79 1.9×	17	391
Monir Hossain	46 0.4×	30 0.3×	142 1.8×	66 1.0×	25 0.6×	11	407
Anita Talbot	68 0.7×	61 0.7×	41 0.5×	35 0.5×	54 1.3×	15	404
J. R. Mainoya	67 0.6×	53 0.6×	19 0.2×	67 1.0×	49 1.2×	21	343
Daniel Ryerson	122 1.2×	19 0.2×	99 1.2×	25 0.4×	99 2.4×	11	410
Wiktor W. Nowinski	113 1.1×	30 0.3×	11 0.1×	27 0.4×	49 1.2×	14	427
Susan Tanksley	105 1.0×	178 2.0×	15 0.2×	52 0.8×	43 1.0×	17	382
Jason A. Magida	153 1.5×	23 0.3×	96 1.2×	67 1.0×	17 0.4×	7	345

Countries citing papers authored by David C. Fainer

Since Specialization

Citations

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

Fields of papers citing papers by David C. Fainer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David C. Fainer

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