Bertram Schnitzer

4.4k citations
142 papers · 3.1k indexed · h-index 32

Impact in

Papers in

Bertram Schnitzer

141 papers receiving 2.9k citations

Peers

Bertram Schnitzer
Comparison fields: 5 of 107
  • Pathology and Forensic Medicine 1.6k
  • Genetics 872
  • Hematology 418
  • Oncology 988
  • Dermatology 288
Replace Jonathan Ben‐Ezra with:
Jonathan Ben‐Ezra United States
A K Ghosh United Kingdom
Alan D. Glick United States
Jonathan W. Said United States
S.M. MacDonald United Kingdom
K Hou-Jensen Denmark
Fabrizio Vinante Italy
Edoardo Pescarmona Italy
Jerome S. Burke United States
Richard J. Bende Netherlands
Bertram Schnitzer relative to Jonathan Ben‐Ezra United States Jonathan Ben‐Ezra's profile →
Citations per field
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Citations per year

Countries citing papers authored by Bertram Schnitzer

Since Specialization
Citations

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

Fields of papers citing papers by Bertram Schnitzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 200733
2 200310
3 200289
4 200227
5 200227
6 200170
7 200132
8 20019
9
Immunoglobulin VH gene analysis of splenic lymphomas reveals pre-germinal, germinal, and post-germinal center cells of origin
20001
10 200011
11 199927
12 199986
13 199847
14 199735
15 199664
16 199622
17 199352
18 19924
19 199131
20 19786

About Bertram Schnitzer

Bertram Schnitzer is a scholar working on Pathology and Forensic Medicine, Genetics, Hematology, Immunology and Oncology, having authored 142 papers that have together received 3.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (68 papers), Chronic Lymphocytic Leukemia Research (34 papers), Viral-associated cancers and disorders (20 papers), CNS Lymphoma Diagnosis and Treatment (13 papers), Acute Myeloid Leukemia Research (9 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), T-cell and Retrovirus Studies (8 papers) and Cutaneous lymphoproliferative disorders research (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.6k citations), Genetics (872 citations), Hematology (418 citations), Oncology (988 citations) and Dermatology (288 citations). Bertram Schnitzer has collaborated with scholars based in United States, New Zealand and Poland. Frequent co-authors include Charles W. Ross, Timothy P. Singleton, William G. Finn, Curtis A. Hanson, Lawrence Kass, Eric D. Hsi, Riccardo Valdez, Patricia Uherova, Serhan Alkan and C. W. Ross. Their work appears in journals such as American Journal of Clinical Pathology, Human Pathology, Cancer, The Lancet and Modern Pathology.

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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