Patrick Treseler
Impact in
- Pathology and Forensic Medicine top 0.5%
- Lymphoma Diagnosis and Treatment
- Breast Lesions and Carcinomas
- Genetics top 1%
- Glioma Diagnosis and Treatment
- BRCA gene mutations in cancer
Papers in ⓘ
-
- Lymphoma Diagnosis and Treatment 14
- Genetics 12
- Glioma Diagnosis and Treatment 8
- Co-authors
- Orlo H. Clark (13 shared papers)Philip H. G. Ituarte (7 shared papers)James L. Rubenstein (12 shared papers)Fred Sanfilippo (8 shared papers)Electron Kebebew (7 shared papers)Gary N. Foulks (4 shared papers)Quan‐Yang Duh (7 shared papers)Eugene Morita (13 shared papers)
- Journals
- Cancer (5 papers)Surgery (5 papers)The Breast Journal (5 papers)Transplantation (5 papers)Blood (4 papers)
- Partner nations
- United StatesTaiwanItaly
In The Last Decade
Patrick Treseler
65 papers receiving 3.3k citations
Peers
Comparison fields: 5 of 105
- Pathology and Forensic Medicine 1.3k
- Genetics 659
- Endocrinology, Diabetes and Metabolism 894
- Neurology 815
- Oncology 870
Countries citing papers authored by Patrick Treseler
This map shows the geographic impact of Patrick Treseler'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 Patrick Treseler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Treseler more than expected).
Fields of papers citing papers by Patrick Treseler
This network shows the impact of papers produced by Patrick Treseler. 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 Patrick Treseler. The network helps show where Patrick Treseler may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Treseler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 293 | |
| 2 | 2001 | 209 | |
| 3 | 2001 | 189 | |
| 4 | Genomic copy number analysis of non-small cell lung cancer using array comparative genomic hybridization: implications of the phosphatidylinositol 3-kinase pathway. | 2002 | 183 |
| 5 | 2004 | 181 | |
| 6 | 2013 | 163 | |
| 7 | 2006 | 150 | |
| 8 | 2018 | 136 | |
| 9 | 2013 | 123 | |
| 10 | 2007 | 113 | |
| 11 | 1984 | 109 | |
| 12 | 2000 | 101 | |
| 13 | 2012 | 99 | |
| 14 | 2006 | 91 | |
| 15 | 2010 | 83 | |
| 16 | 2004 | 65 | |
| 17 | 1999 | 55 | |
| 18 | 2005 | 50 | |
| 19 | 1997 | 50 | |
| 20 | 2001 | 48 |
About Patrick Treseler
Patrick Treseler is a scholar working on Pathology and Forensic Medicine, Genetics, Neurology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 66 papers that have together received 3.4k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (14 papers), CNS Lymphoma Diagnosis and Treatment (13 papers), Thyroid Cancer Diagnosis and Treatment (12 papers), Breast Cancer Treatment Studies (9 papers), Cutaneous Melanoma Detection and Management (8 papers), Glioma Diagnosis and Treatment (8 papers), Corneal Surgery and Treatments (8 papers) and Breast Implant and Reconstruction (8 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.3k citations), Genetics (659 citations), Endocrinology, Diabetes and Metabolism (894 citations), Neurology (815 citations) and Oncology (870 citations). Patrick Treseler has collaborated with scholars based in United States, Taiwan and Italy. Frequent co-authors include Orlo H. Clark, Philip H. G. Ituarte, James L. Rubenstein, Fred Sanfilippo, Electron Kebebew, Gary N. Foulks, Quan‐Yang Duh, Eugene Morita, Stanley P. L. Leong and Mariwil G. Wong. Their work appears in journals such as Cancer, Surgery, The Breast Journal, Transplantation and Blood.
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.