John E. Hopper

948 citations
24 papers · 730 · h-index 13

Impact in

  • Immunology top 10%
    • T-cell and B-cell Immunology
    • Immunodeficiency and Autoimmune Disorders
    • Immune Cell Function and Interaction
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments

Papers in

John E. Hopper

24 papers receiving 635 citations

Peers

John E. Hopper
Comparison fields: 5 of 71
  • Immunology 344
  • Hematology 168
  • Radiology, Nuclear Medicine and Imaging 332
  • Genetics 135
  • Immunology and Allergy 49
Replace Jeffrey E. Berman with:
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T Tsubota Japan
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Citations per field
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Citations per year

Countries citing papers authored by John E. Hopper

Since Specialization
Citations

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

Fields of papers citing papers by John E. Hopper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1970134
2 197994
3 196978
4 197166
5 198653
6 197138
7 200033
8 197033
9 198933
10 198031
11 197930
12 198221
13
Comparative studies on monotypic IgMlambda and IgGkappa from an individual patient. I. Evidence for shared VH idiotypic determinants.
197518
14 197512
15 198210
16 19768
17 19837
18 19796
19
Shared N-terminal sequences in monclonal IgMkappa and IgGkappa proteins from a patient with a complex multiple paraprotein disorder.
19796
20 19815

About John E. Hopper

John E. Hopper is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Immunology, Genetics and Rheumatology, having authored 24 papers that have together received 730 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (19 papers), Glycosylation and Glycoproteins Research (11 papers), Chronic Lymphocytic Leukemia Research (5 papers), T-cell and B-cell Immunology (5 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Systemic Lupus Erythematosus Research (3 papers), Immune Cell Function and Interaction (3 papers) and Blood groups and transfusion (2 papers). The work is most often cited by research in Immunology (344 citations), Hematology (168 citations), Radiology, Nuclear Medicine and Imaging (332 citations), Genetics (135 citations) and Immunology and Allergy (49 citations). John E. Hopper has collaborated with scholars based in United States. Frequent co-authors include Alfred Nisonoff, S. K. Wilson, H. Hugh Fudenberg, Janet D. Rowley, Alexander MacDonald, Harry Daugharty, Thomas E. Kmiecik, Alan S. Levin, Barry G.W. Arnason and Catherine Meyer. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Cellular Immunology, Journal of Clinical Immunology and Proceedings of the National Academy of Sciences.

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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