E.A. Nichols

2.1k citations
41 papers · 1.7k · h-index 20

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

34 papers receiving 1.5k citations

Peers

E.A. Nichols
Comparison fields: 5 of 112
  • Immunology 324
  • Genetics 366
  • Molecular Biology 883
  • Cognitive Neuroscience 198
  • Physiology 48
Replace Ingrid Maurer-Fogy with:
Ingrid Maurer-Fogy Austria
Masayoshi Tachibana Japan
D G Bole United States
Sandra Jansen Germany
Ying Zhu China
Peter Weber United States
Anton Bittner United States
Raja Sekhar Nirujogi United States
Glen A. Evans United States
C. M. Gomez United States
E.A. Nichols relative to Ingrid Maurer-Fogy Austria Ingrid Maurer-Fogy's profile →
Citations per field
00.5×1.5×
Ingrid Maurer-Fogy · 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 2006152
3 1975138
4 1990132
5 1994113
6 197398
7 197484
8 200983
9 197468
10 200368
11 197168
12 201667
13 197550
14 200547
15 198433
16 197527
17 198326
18 197423
19 197423
20 198519

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 1.7k 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), DNA Repair Mechanisms (3 papers), Pancreatic function and diabetes (3 papers) and Virus-based gene therapy research (3 papers). The work is most often cited by research in Immunology (324 citations), Genetics (366 citations), Molecular Biology (883 citations), Cognitive Neuroscience (198 citations) and Physiology (48 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 Biochemical Genetics, Bioorganic & Medicinal Chemistry Letters, The Journal of Immunology, Cellular Immunology and European Journal of 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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