Eli L. Moss

3.0k citations
20 papers · 989 · h-index 15

Impact in

Papers in

Eli L. Moss

19 papers receiving 971 citations

Peers

Eli L. Moss
Comparison fields: 5 of 99
  • Public Health, Environmental and Occupational Health 284
  • Infectious Diseases 165
  • Molecular Biology 602
  • Ecology 211
  • Parasitology 53
Replace Jérémy Delerce with:
Jérémy Delerce France
Ramakrishnan Sitaraman India
Seth A. Faith United States
Zongjie Li China
Saied Bokaie Iran
Nana Minkah United States
Duolong Zhu United States
Bryan Hancock United States
Juncai Ma China
Gilson Costa Macedo Brazil
Eli L. Moss relative to Jérémy Delerce France Jérémy Delerce's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eli L. Moss

Since Specialization
Citations

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

Fields of papers citing papers by Eli L. Moss

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eli L. Moss. 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 Eli L. Moss. The network helps show where Eli L. Moss may publish in the future.

Co-authors

The 25 scholars most cited alongside Eli L. Moss, 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 Eli L. Moss Line = papers co-authored together Eli L. Moss links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 2020214
2 2018171
3 201587
4 201877
5 202074
6 201368
7 201352
8 201745
9 201443
10 202034
11 201434
12 201522
13 197222
14 201419
15 201415
16 20146
17 20194
18 20181
19 20211
20 20160

About Eli L. Moss

Eli L. Moss is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Infectious Diseases, Epidemiology and Ecology, having authored 20 papers that have together received 989 indexed citations. Recurring topics across this work include Malaria Research and Control (9 papers), Gut microbiota and health (8 papers), Mosquito-borne diseases and control (5 papers), Clostridium difficile and Clostridium perfringens research (4 papers), Genomics and Phylogenetic Studies (3 papers), Microbial Community Ecology and Physiology (3 papers), Evolution and Genetic Dynamics (3 papers) and Mycobacterium research and diagnosis (3 papers). The work is most often cited by research in Public Health, Environmental and Occupational Health (284 citations), Infectious Diseases (165 citations), Molecular Biology (602 citations), Ecology (211 citations) and Parasitology (53 citations). Eli L. Moss has collaborated with scholars based in United States, Peru and Sweden. Frequent co-authors include Ami S. Bhatt, Dylan G. Maghini, Daniel E. Neafsey, Summer E. Vance, Dyann F. Wirth, Katharine M. Ng, Donna M. Bouley, Steven K. Higginbottom, Carlos G. Gonzalez and Justin L. Sonnenburg. Their work appears in journals such as Nature Biotechnology, Proceedings of the National Academy of Sciences, Infection and Immunity, Molecular & Cellular Proteomics and BMC Bioinformatics.

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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