William E. Katzin

21 papers receiving 291 citations

Peers

William E. Katzin
Comparison fields: 5 of 69
  • Pathology and Forensic Medicine 104
  • Dermatology 47
  • Genetics 45
  • Oncology 106
  • Cancer Research 36
Replace Arun R. Chitale with:
Arun R. Chitale India
Evan Sacks United States
Federica Vergoni Italy
Gordon H. Burgess United States
Jishu Ito Japan
Rina Kansal United States
Parker Jw United States
Pascasio Aguirre United States
Anna Demurtas Italy
Caner Saygin United States
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Citations per year

Countries citing papers authored by William E. Katzin

Since Specialization
Citations

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

Fields of papers citing papers by William E. Katzin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200548
2 199238
3 199637
4 198631
5 198826
6 198917
7
Immunophenotypic and genotypic characterization of diffuse mixed non-Hodgkin's lymphomas.
198916
8 199513
9 199213
10 199512
11 198810
12 199110
13 197810
14 19886
15 19995
16 20004
17 19844
18 19933
19 19933
20 19941

About William E. Katzin

William E. Katzin is a scholar working on Pathology and Forensic Medicine, Genetics, Surgery, Oncology and Molecular Biology, having authored 21 papers that have together received 308 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (5 papers), Chronic Lymphocytic Leukemia Research (4 papers), Breast Implant and Reconstruction (3 papers), Systemic Sclerosis and Related Diseases (2 papers), Viral-associated cancers and disorders (2 papers), Immunodeficiency and Autoimmune Disorders (2 papers), T-cell and B-cell Immunology (2 papers) and Chronic Kidney Disease and Diabetes (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (104 citations), Dermatology (47 citations), Genetics (45 citations), Oncology (106 citations) and Cancer Research (36 citations). William E. Katzin has collaborated with scholars based in United States and France. Frequent co-authors include Raymond R. Tubbs, Andrew J. Fishleder, Geoffrey Mendelsohn, Michael D. Linden, Mohammad A. Vasef, Florabel G. Mullick, Lu‐Jean Feng, José A. Centeno, Joram Sawady and Michael Schvimer. Their work appears in journals such as Human Pathology, The American Journal of Surgical Pathology, American Journal of Clinical Pathology, Journal of the American Academy of Dermatology and Cancer.

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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