James E. Hoffman

2.6k citations
70 papers · 620 · h-index 13

Impact in

  • Hematology top 5%
    • Multiple Myeloma Research and Treatments
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 32
    • Amyloidosis: Diagnosis, Treatment, Outcomes 22
    • Protein Degradation and Inhibitors 7

James E. Hoffman

62 papers receiving 591 citations

Peers

James E. Hoffman
Comparison fields: 5 of 55
  • Hematology 202
  • Genetics 106
  • Oncology 182
  • Nephrology 34
  • Molecular Biology 309
Replace Nagaaki Katoh with:
Nagaaki Katoh Japan
Angelika Weis Germany
Giuseppe Loffredo Italy
F Desangles France
Wim M.J. Vuist Netherlands
Sandra Tong United States
Emilie‐Fleur Gautier France
Kate L. Lowe United Kingdom
Lisbeth Ärlestig Sweden
James E. Hoffman relative to Nagaaki Katoh Japan Nagaaki Katoh's profile →
Citations per field
00.5×5.3×
Nagaaki Katoh · 1×
Citations per year

Countries citing papers authored by James E. Hoffman

Since Specialization
Citations

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

Fields of papers citing papers by James E. Hoffman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200884
2 197759
3 200955
4 202340
5 200839
6 202229
7 202128
8 201126
9 201420
10 201919
11 201217
12 202312
13 202212
14 202311
15 201510
16 20239
17 20199
18 20209
19 19749
20 20228

About James E. Hoffman

James E. Hoffman is a scholar working on Hematology, Molecular Biology, Oncology, Genetics and Pathology and Forensic Medicine, having authored 70 papers that have together received 620 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (32 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (22 papers), Chronic Lymphocytic Leukemia Research (10 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), CAR-T cell therapy research (8 papers), Protein Degradation and Inhibitors (7 papers), Peptidase Inhibition and Analysis (5 papers) and Lymphoma Diagnosis and Treatment (5 papers). The work is most often cited by research in Hematology (202 citations), Genetics (106 citations), Oncology (182 citations), Nephrology (34 citations) and Molecular Biology (309 citations). James E. Hoffman has collaborated with scholars based in United States, Belgium and United Kingdom. Frequent co-authors include Raymond L. Comenzo, Richard M. Steingart, Heather Landau, Hani Hassoun, Robert J. Tanenberg, Frederick C. Goetz, Beryl Z. Greenberg, Adam D. Cohen, Jennifer Liu and Joanne Chou. Their work appears in journals such as Blood, Journal of Clinical Oncology, The American Journal of Cardiology, Blood Advances and HemaSphere.

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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