Nancy E. Everds

2.4k citations
46 papers · 2.0k · h-index 20

Impact in

Papers in

Nancy E. Everds

46 papers receiving 1.8k citations

Peers

Nancy E. Everds
Comparison fields: 5 of 130
  • Small Animals 308
  • Environmental Chemistry 287
  • Endocrinology, Diabetes and Metabolism 357
  • Health, Toxicology and Mutagenesis 306
  • Immunology 369
Replace Wolfgang S.H. Kaufmann with:
Wolfgang S.H. Kaufmann Germany
Gilbert Schönfelder Germany
Mario Monshouwer Netherlands
Ella Atlas Canada
Dianne M. Creasy United Kingdom
Soon Young Han South Korea
Lewis B. Kinter United States
Angela R. Buckalew United States
Eric Vaillancourt United States
Bill C. Bullock United States
Nancy E. Everds relative to Wolfgang S.H. Kaufmann Germany Wolfgang S.H. Kaufmann's profile →
Citations per field
00.5×2×4×5.2×
Wolfgang S.H. Kaufmann · 1×
Citations per year

Countries citing papers authored by Nancy E. Everds

Since Specialization
Citations

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

Fields of papers citing papers by Nancy E. Everds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy E. Everds. 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 Nancy E. Everds. The network helps show where Nancy E. Everds may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996388
2 2013262
3 2005187
4 2006161
5 2004132
6 200870
7 200762
8 200760
9 201345
10 199441
11 200341
12 200639
13 201635
14 201435
15 201231
16 201528
17 200828
18 201628
19 200527
20 201222

About Nancy E. Everds

Nancy E. Everds is a scholar working on Small Animals, Immunology, Cancer Research, Health, Toxicology and Mutagenesis and Environmental Chemistry, having authored 46 papers that have together received 2.0k indexed citations. Recurring topics across this work include Animal testing and alternatives (16 papers), Immunotoxicology and immune responses (13 papers), Effects and risks of endocrine disrupting chemicals (7 papers), Carcinogens and Genotoxicity Assessment (6 papers), Per- and polyfluoroalkyl substances research (5 papers), Computational Drug Discovery Methods (3 papers), Thyroid Disorders and Treatments (3 papers) and Clinical Laboratory Practices and Quality Control (3 papers). The work is most often cited by research in Small Animals (308 citations), Environmental Chemistry (287 citations), Endocrinology, Diabetes and Metabolism (357 citations), Health, Toxicology and Mutagenesis (306 citations) and Immunology (369 citations). Nancy E. Everds has collaborated with scholars based in United States, Germany and Switzerland. Frequent co-authors include Douglas Forrest, Colin L. Stewart, J.M. Wehner, Tom Curran, Richard Jay Smeyne, Biji T. Kurien, Robert Hal Scofield, Steven R. Frame, Scott E. Loveless and Paul W. Snyder. Their work appears in journals such as Toxicologic Pathology, Drug and Chemical Toxicology, Toxicological Sciences, PLoS ONE and Environmental Health Perspectives.

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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