Patrick Treseler

4.5k citations
66 papers · 3.6k · h-index 33

Impact in

Papers in

Patrick Treseler

65 papers receiving 3.5k citations

Peers

Patrick Treseler
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 922
  • Neurology 814
  • Pathology and Forensic Medicine 954
  • Genetics 513
  • Cancer Research 430
Replace Valeria Barresi with:
Valeria Barresi Italy
Jan Zedenius Sweden
Robert C. Hickey United States
C. Christofer Juhlin Sweden
C Parmentier France
Christiane De Wolf‐Peeters Belgium
Snjezana Doğan United States
Adele Clarkson Australia
Hans-Jürgen Holzhausen Germany
Silvia Uccella Italy
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Citations per field
00.5×3.0×
Valeria Barresi · 1×
Citations per year

Countries citing papers authored by Patrick Treseler

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Patrick Treseler Line = papers co-authored together Patrick Treseler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007298
2 2001230
3 2004200
4 2001192
5
Genomic copy number analysis of non-small cell lung cancer using array comparative genomic hybridization: implications of the phosphatidylinositol 3-kinase pathway.
2002192
6 2013170
7 2006165
8 2018142
9 2013125
10 2007118
11 1984116
12 2000114
13 2012102
14 200695
15 201085
16 200473
17 199961
18 197954
19 199753
20 200552

About Patrick Treseler

Patrick Treseler is a scholar working on Pathology and Forensic Medicine, Neurology, Oncology, Endocrinology, Diabetes and Metabolism and Cancer Research, having authored 66 papers that have together received 3.6k indexed citations. Recurring topics across this work include CNS Lymphoma Diagnosis and Treatment (13 papers), Thyroid Cancer Diagnosis and Treatment (10 papers), Lymphoma Diagnosis and Treatment (10 papers), Breast Cancer Treatment Studies (9 papers), Corneal Surgery and Treatments (8 papers), Cutaneous Melanoma Detection and Management (7 papers), Ocular Surface and Contact Lens (6 papers) and Breast Lesions and Carcinomas (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (922 citations), Neurology (814 citations), Pathology and Forensic Medicine (954 citations), Genetics (513 citations) and Cancer Research (430 citations). Patrick Treseler has collaborated with scholars based in United States, Canada and Italy. Frequent co-authors include Orlo H. Clark, Philip H. G. Ituarte, James L. Rubenstein, Fred Sanfilippo, Electron Kebebew, Quan‐Yang Duh, Gary N. Foulks, Eugene Morita, Mariwil G. Wong and Stanley P. L. Leong. Their work appears in journals such as Surgery, The Breast Journal, Cancer, 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.

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