J Bill

2.3k citations
26 papers · 2.1k · h-index 20

Impact in

  • Immunology top 1%
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune Response and Inflammation
    • Monoclonal and Polyclonal Antibodies Research

Papers in

J Bill

26 papers receiving 2.1k citations

Peers

J Bill
Comparison fields: 5 of 89
  • Immunology 1.7k
  • Radiology, Nuclear Medicine and Imaging 537
  • Immunology and Allergy 79
  • Oncology 264
  • Genetics 273
Replace Adrian Kelly with:
Adrian Kelly United Kingdom
Nobukata Shinohara Japan
Patricia K. A. Mongini United States
M Foo United States
Richard K. Barth United States
S. Meuer Germany
Teresa Y. Basham United States
M. Hadam Germany
Gerald L. Waneck United States
Helmut M. Sassenfeld United States
J Bill relative to Adrian Kelly United Kingdom Adrian Kelly's profile →
Citations per field
00.5×2×3×3.7×
Adrian Kelly · 1×
Citations per year

Countries citing papers authored by J Bill

Since Specialization
Citations

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

Fields of papers citing papers by J Bill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1987375
2 1989308
3 1989276
4 1990186
5 1989115
6 1989111
7 199186
8 198884
9 198974
10 198858
11 199557
12 200551
13 198947
14 200547
15
Class I and class II MHC gene products differentially affect the fate of V beta 5 bearing thymocytes.
199040
16 198433
17 201031
18 200529
19 199127
20 201026

About J Bill

J Bill is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging, Molecular Biology, Oncology and Surgery, having authored 26 papers that have together received 2.1k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (15 papers), Monoclonal and Polyclonal Antibodies Research (12 papers), Immune Cell Function and Interaction (10 papers), CAR-T cell therapy research (6 papers), Glycosylation and Glycoproteins Research (3 papers), Immunotherapy and Immune Responses (3 papers), Viral Infectious Diseases and Gene Expression in Insects (2 papers) and Protein purification and stability (2 papers). The work is most often cited by research in Immunology (1.7k citations), Radiology, Nuclear Medicine and Imaging (537 citations), Immunology and Allergy (79 citations), Oncology (264 citations) and Genetics (273 citations). J Bill has collaborated with scholars based in United States, Italy and China. Frequent co-authors include Ed Palmer, John W. Kappler, Philippa Marrack, Osami Kanagawa, David L. Woodland, E Palmer, Marcia A. Blackman, Terri K. Wade, J. Michael White and Neal W. Roehm. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Biotechnology and Bioengineering, Immunogenetics 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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