Bertram Schnitzer

4.4k citations
146 papers · 3.4k · h-index 34

Impact in

Papers in

Bertram Schnitzer

143 papers receiving 3.0k citations

Peers

Bertram Schnitzer
Comparison fields: 5 of 112
  • Pathology and Forensic Medicine 1.7k
  • Genetics 898
  • Oncology 1.0k
  • Hematology 424
  • Dermatology 297
Replace D Y Mason with:
D Y Mason United Kingdom
Alan D. Glick United States
Jonathan W. Said United States
Jonathan Ben‐Ezra United States
A K Ghosh United Kingdom
Kikkeri N. Naresh United Kingdom
Thomas F.E. Barth Germany
Jerome S. Burke United States
Fabrizio Vinante Italy
S.M. MacDonald United Kingdom
Bertram Schnitzer relative to D Y Mason United Kingdom D Y Mason's profile →
Citations per field
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D Y Mason · 1×
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-authors

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

Showing the 20 most-cited of 146 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Application of flow cytometry to diagnostic pathology.
1984104
2 200299
3 199994
4 200190
5 197286
6 199474
7 197474
8 200172
9 199971
10 198868
11 200366
12 199666
13 197159
14 199858
15 199057
16 199855
17 199354
18
Rearrangement of immunoglobulin and T-cell receptor genes in Hodgkin's disease.
198853
19 197052
20 197447

About Bertram Schnitzer

Bertram Schnitzer is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Immunology and Hematology, having authored 146 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (70 papers), Chronic Lymphocytic Leukemia Research (34 papers), Viral-associated cancers and disorders (19 papers), CNS Lymphoma Diagnosis and Treatment (14 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Acute Myeloid Leukemia Research (10 papers), T-cell and Retrovirus Studies (7 papers) and Immunodeficiency and Autoimmune Disorders (7 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.7k citations), Genetics (898 citations), Oncology (1.0k citations), Hematology (424 citations) and Dermatology (297 citations). Bertram Schnitzer has collaborated with scholars based in United States, Brazil and Nigeria. Frequent co-authors include Charles W. Ross, Timothy P. Singleton, William G. Finn, Curtis A. Hanson, Lawrence Kass, Eric D. Hsi, Riccardo Valdez, Serhan Alkan, Patricia Uherova and Peter G. Contacos. 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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