E.A. Nichols

2.1k citations
41 papers · 1.8k · h-index 22

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
  • Genetics top 5%
    • Virus-based gene therapy research

Papers in

E.A. Nichols

41 papers receiving 1.6k citations

Peers

E.A. Nichols
Comparison fields: 5 of 114
  • Immunology 336
  • Genetics 427
  • Molecular Biology 975
  • Physiology 55
  • Cognitive Neuroscience 210
Replace Fumiko Ono with:
Fumiko Ono Japan
Ingrid Maurer-Fogy Austria
Anton Bittner United States
Nila Patil United States
James D. Eudy United States
Dik van Leenen Netherlands
Masayoshi Tachibana Japan
James Ireland United States
Tetsuya Hori Japan
Aaron K. Wong United States
E.A. Nichols relative to Fumiko Ono Japan Fumiko Ono's profile →
Citations per field
00.5×4.2×
Fumiko Ono · 1×
Citations per year

Countries citing papers authored by E.A. Nichols

Since Specialization
Citations

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

Fields of papers citing papers by E.A. Nichols

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1973258
2 2006150
3 1975138
4 1990132
5 1994113
6 197398
7 197484
8 200983
9 197468
10 197168
11 201667
12 200366
13 197550
14 200547
15 198433
16 197429
17 197527
18 198326
19 197825
20 197423

About E.A. Nichols

E.A. Nichols is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Immunology, Physiology and Genetics, having authored 41 papers that have together received 1.8k indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (11 papers), Biochemical and Molecular Research (8 papers), T-cell and B-cell Immunology (7 papers), Immune Cell Function and Interaction (7 papers), Immunotherapy and Immune Responses (4 papers), Virus-based gene therapy research (3 papers), CRISPR and Genetic Engineering (3 papers) and DNA Repair Mechanisms (3 papers). The work is most often cited by research in Immunology (336 citations), Genetics (427 citations), Molecular Biology (975 citations), Physiology (55 citations) and Cognitive Neuroscience (210 citations). E.A. Nichols has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Frank H. Ruddle, F.H. Ruddle, Christine A. Kozak, John D. E. Gabrieli, Verne M. Chapman, Linda S. Wicker, Mieke Verfaellie, R.P. Creagan, Robert C. Boltz and N H Sigal. Their work appears in journals such as Cytogenetic and Genome Research, Biochemical Genetics, Bioorganic & Medicinal Chemistry Letters, The Journal of Immunology and Cellular Immunology.

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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