Eric J. Nelson

3.9k citations
105 papers · 2.8k · h-index 28

Impact in

Papers in

Eric J. Nelson

96 papers receiving 2.7k citations

Peers

Eric J. Nelson
Comparison fields: 5 of 174
  • Endocrinology 948
  • Modeling and Simulation 168
  • Molecular Medicine 161
  • Microbiology 159
  • Applied Microbiology and Biotechnology 33
Replace Hongbin Song with:
Hongbin Song China
Jeremy Sobel United States
Jianfeng Wang China
Jacob John India
Weidong Zhang China
Bing Gu China
Ping Ma China
Jin Kyung Park South Korea
Ji Zhang China
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Citations per field
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Citations per year

Countries citing papers authored by Eric J. Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Eric J. Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eric J. Nelson. 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 Eric J. Nelson. The network helps show where Eric J. Nelson may publish in the future.

Co-authors

The 25 scholars most cited alongside Eric J. Nelson, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eric J. Nelson Line = papers co-authored together Eric J. Nelson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 105 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2009457
2 2008157
3 2007146
4 1992114
5 2008111
6 2002106
7 1995100
8 199479
9 200874
10 201071
11 200067
12 200666
13 199966
14 202061
15 200354
16 200752
17 202147
18 200341
19 199637
20 199735

About Eric J. Nelson

Eric J. Nelson is a scholar working on Endocrinology, Infectious Diseases, Molecular Biology, Nutrition and Dietetics and General Health Professions, having authored 105 papers that have together received 2.8k indexed citations. Recurring topics across this work include Vibrio bacteria research studies (23 papers), Viral gastroenteritis research and epidemiology (16 papers), Child Nutrition and Water Access (15 papers), Salmonella and Campylobacter epidemiology (10 papers), Global Maternal and Child Health (10 papers), Mobile Health and mHealth Applications (8 papers), Receptor Mechanisms and Signaling (7 papers) and Bacteriophages and microbial interactions (7 papers). The work is most often cited by research in Endocrinology (948 citations), Modeling and Simulation (168 citations), Molecular Medicine (161 citations), Microbiology (159 citations) and Applied Microbiology and Biotechnology (33 citations). Eric J. Nelson has collaborated with scholars based in United States, Bangladesh and Haiti. Frequent co-authors include Andrew Camilli, Stephen B. Calderwood, Patricia M. Hinkle, Stefan Schild, J. Glenn Morris, Jason B. Harris, Darcy M. Bullock, Anne L. Bishop, Rachel Ashworth and T. Kendelewicz. Their work appears in journals such as Surface Science, American Journal of Tropical Medicine and Hygiene, Endocrinology, PLoS neglected tropical diseases and Journal of Biological Chemistry.

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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