Robert S. Wickert
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
-
- Lymphoma Diagnosis and Treatment
Papers in
-
- Lymphoma Diagnosis and Treatment 9
-
- Tuberculosis Research and Epidemiology 2
- Co-authors
- Dennis D. Weisenburger (7 shared papers)Julia A. Bridge (3 shared papers)Wing C. Chan (7 shared papers)S. H. Hinrichs (2 shared papers)Paul D. Fey (1 shared paper)Tom Safranek (1 shared paper)Mark E. Rupp (1 shared paper)Henry D. Tazelaar (1 shared paper)
- Journals
- American Journal of Clinical Pathology (3 papers)Diagnostic Molecular Pathology (3 papers)The American Journal of Surgical Pathology (2 papers)Cancer (2 papers)Emerging infectious diseases (1 paper)
- Partner nations
- United StatesJapanPakistan
In The Last Decade
Robert S. Wickert
17 papers receiving 577 citations
Peers
Comparison fields: 5 of 57
- Endocrinology 101
- Pathology and Forensic Medicine 224
- Genetics 92
- Infectious Diseases 122
- Oncology 173
Countries citing papers authored by Robert S. Wickert
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 113 | |
| 2 | 2001 | 89 | |
| 3 | Epstein-Barr viral genome in lymph nodes from patients with Hodgkin's disease may not be specific to Reed-Sternberg cells. | 1991 | 65 |
| 4 | 1996 | 45 | |
| 5 | 1996 | 43 | |
| 6 | 1992 | 34 | |
| 7 | 1998 | 32 | |
| 8 | 2002 | 30 | |
| 9 | 2009 | 26 | |
| 10 | Molecular studies on single cells harvested by micromanipulation from archival tissue sections previously stained by immunohistochemistry or nonisotopic in situ hybridization. | 1997 | 26 |
| 11 | 1994 | 25 | |
| 12 | 1996 | 20 | |
| 13 | 2009 | 18 | |
| 14 | 2002 | 14 | |
| 15 | 1999 | 13 | |
| 16 | 1993 | 10 | |
| 17 | HTLV-I sequence in lymphoproliferative disorders. | 1993 | 10 |
About Robert S. Wickert
Robert S. Wickert is a scholar working on Pathology and Forensic Medicine, Infectious Diseases, Immunology, Genetics and Dermatology, having authored 17 papers that have together received 613 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Sarcoma Diagnosis and Treatment (3 papers), Cutaneous lymphoproliferative disorders research (3 papers), Chronic Lymphocytic Leukemia Research (3 papers), Tuberculosis Research and Epidemiology (2 papers), Mycobacterium research and diagnosis (2 papers), Cardiac tumors and thrombi (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Endocrinology (101 citations), Pathology and Forensic Medicine (224 citations), Genetics (92 citations), Infectious Diseases (122 citations) and Oncology (173 citations). Robert S. Wickert has collaborated with scholars based in United States, Japan and Pakistan. Frequent co-authors include Dennis D. Weisenburger, Julia A. Bridge, Wing C. Chan, S. H. Hinrichs, Paul D. Fey, Tom Safranek, Mark E. Rupp, Henry D. Tazelaar, Marie-Christine Aubry and Anne Tierens. Their work appears in journals such as American Journal of Clinical Pathology, Diagnostic Molecular Pathology, The American Journal of Surgical Pathology, Cancer and Emerging infectious diseases.
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.