John M. Fidler

1.4k citations
60 papers · 1.2k indexed · h-index 21
Topics
T-cell and B-cell Immunology (20 papers)Immune Response and Inflammation (17 papers)Immunotherapy and Immune Responses (16 papers)
Partner nations
United StatesAustralia

In The Last Decade

John M. Fidler

60 papers receiving 1.1k citations

Peers

John M. Fidler
Comparison fields: 5 of 81
  • Immunology 555
  • Molecular Biology 349
  • Complementary and alternative medicine 292
  • Pathology and Forensic Medicine 189
  • Oncology 130
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Citations per field
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Citations per year

Countries citing papers authored by John M. Fidler

Since Specialization
Citations

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

Fields of papers citing papers by John M. Fidler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by John M. Fidler. 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 John M. Fidler. The network helps show where John M. Fidler may publish in the future.

Co-authorship network of co-authors of John M. Fidler

This figure shows the co-authorship network connecting the top 25 collaborators of John M. Fidler. A scholar is included among the top collaborators of John M. Fidler based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with John M. Fidler. John M. Fidler is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 3
2 31
3 18
4 34
5 31
6 23
7 43
8 32
9
IMMUNOSUPPRESSIVE ACTIVITY OF THE CHINESE MEDICINAL PLANT TRIPTERYGIUM WILFORDII
22
10 30
11 4
12 8
13 14
14
Antigen-initiated B lymphocyte differentiation. XII. Nonspecific effects of antigenic stimulation on the physical properties of AFC-progenitors.
5
15 4
16
The induction of hapten-specific immunologic tolerance and immunity in B lymphocytes. III. In vitro evaluation of TNP-specific tolerance and evidence for B cell deletion.
16
17
Nonspecific activation of murine lymphocytes. IV. Proliferation of a distinct, late maturing lymphocyte subpopulation induced by 2-mercaptoethanol.
41
18 25
19
Immunologic tolerance to a hapten. 3. Induction of tolerance to trinitrophenyl in B cells in various differentiation states.
17
20 55

About John M. Fidler

John M. Fidler is a scholar working on Complementary and alternative medicine, Immunology and Toxicology, having authored 60 papers that have together received 1.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (20 papers), Immune Response and Inflammation (17 papers) and Immunotherapy and Immune Responses (16 papers). The work is most often cited by research in Complementary and alternative medicine (292 citations), Immunology (555 citations) and Pathology and Forensic Medicine (189 citations). John M. Fidler has collaborated with scholars based in United States and Australia. Frequent co-authors include Edward S. Golub, Susan Quinn DeJoy, J J Gibbons, William O. Weigle, Michael Goodman, Ken Shortman, Rensheng Xu, Nelson J. Chao, Zhenqing Chen and Glenn D. Rosen. Their work appears in journals such as The Lancet, The Journal of Experimental Medicine and Blood.

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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