Robert S. Wickert

17 papers receiving 549 citations

Peers

Robert S. Wickert
Comparison fields: 5 of 57
  • Endocrinology 100
  • Pathology and Forensic Medicine 230
  • Genetics 100
  • Infectious Diseases 133
  • Oncology 166
Replace Kazunori Nakase with:
Kazunori Nakase Japan
JF Émile France
Vernon A. Pilon United States
Russell L. Maiese United States
P. Sarsfield United Kingdom
E. C. Sweeney Ireland
Samih Y. Alami Lebanon
J A Strauchen United States
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Citations per field
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Citations per year

Countries citing papers authored by Robert S. Wickert

Since Specialization
Citations

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

Fields of papers citing papers by Robert S. Wickert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert S. Wickert. 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 Robert S. Wickert. The network helps show where Robert S. Wickert may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 2000110
2 200178
3
Epstein-Barr viral genome in lymph nodes from patients with Hodgkin's disease may not be specific to Reed-Sternberg cells.
199159
4 199641
5 199633
6 199233
7 199830
8 200926
9 199425
10 200225
11
Molecular studies on single cells harvested by micromanipulation from archival tissue sections previously stained by immunohistochemistry or nonisotopic in situ hybridization.
199725
12 199620
13 200214
14 200913
15 199913
16 199310
17
HTLV-I sequence in lymphoproliferative disorders.
199310

About Robert S. Wickert

Robert S. Wickert is a scholar working on Pathology and Forensic Medicine, Infectious Diseases, Genetics, Oncology and Immunology, having authored 17 papers that have together received 565 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (10 papers), Chronic Lymphocytic Leukemia Research (4 papers), Cutaneous lymphoproliferative disorders research (3 papers), Sarcoma Diagnosis and Treatment (3 papers), T-cell and Retrovirus Studies (2 papers), Cardiac tumors and thrombi (2 papers), Viral-associated cancers and disorders (2 papers) and Tuberculosis Research and Epidemiology (2 papers). The work is most often cited by research in Endocrinology (100 citations), Pathology and Forensic Medicine (230 citations), Genetics (100 citations), Infectious Diseases (133 citations) and Oncology (166 citations). Robert S. Wickert has collaborated with scholars based in United States, Pakistan and Japan. Frequent co-authors include Dennis D. Weisenburger, Julia A. Bridge, Wing C. Chan, S. H. Hinrichs, Tom Safranek, Mark E. Rupp, Paul D. Fey, Marie-Christine Aubry, Henry D. Tazelaar and Anne Tierens. Their work appears in journals such as Diagnostic Molecular Pathology, American Journal of Clinical Pathology, Cancer, The American Journal of Surgical Pathology and Diagnostic Microbiology and Infectious Disease.

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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