Harold E. Windschitl

3.3k citations
41 papers · 2.6k · h-index 25

Impact in

Papers in

Harold E. Windschitl

41 papers receiving 2.5k citations

Peers

Harold E. Windschitl
Comparison fields: 5 of 106
  • Oncology 997
  • Pathology and Forensic Medicine 363
  • Endocrinology, Diabetes and Metabolism 312
  • Cancer Research 251
  • Hepatology 81
Replace Thomas A. Colacchio with:
Thomas A. Colacchio United States
Misa Nakamura Japan
Thomas C. Wascher Austria
Ingiäld Hafström Sweden
Mark P. Ettinger United States
Michiaki Abe Japan
Miguel Arévalo Spain
Bogdan Balas United States
Kristine D. Harper United States
Jialiang Wang China
Harold E. Windschitl relative to Thomas A. Colacchio United States Thomas A. Colacchio's profile →
Citations per field
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Citations per year

Countries citing papers authored by Harold E. Windschitl

Since Specialization
Citations

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

Fields of papers citing papers by Harold E. Windschitl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Harold E. Windschitl. 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 Harold E. Windschitl. The network helps show where Harold E. Windschitl may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2001377
2 2002239
3 1997220
4 2008180
5 1997128
6 1999122
7 1986121
8 2004108
9 200496
10 200983
11 200873
12 200661
13 199560
14 200959
15 200758
16 200558
17 199948
18 200844
19 197137
20 199533

About Harold E. Windschitl

Harold E. Windschitl is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Molecular Biology, Pathology and Forensic Medicine and Cancer Research, having authored 41 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer Treatment and Pharmacology (8 papers), Colorectal Cancer Treatments and Studies (4 papers), Lung Cancer Treatments and Mutations (4 papers), Genetic factors in colorectal cancer (4 papers), Breast Cancer Treatment Studies (3 papers), Estrogen and related hormone effects (3 papers), Lung Cancer Research Studies (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Oncology (997 citations), Pathology and Forensic Medicine (363 citations), Endocrinology, Diabetes and Metabolism (312 citations), Cancer Research (251 citations) and Hepatology (81 citations). Harold E. Windschitl has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Jeff A. Sloan, Charles L. Loprinzi, Paul J. Novotny, Daniel J. Sargent, Debra L. Barton, Beth LaVasseur, Nathan R. Foster, James E. Krook, Richard M. Goldberg and Ralph Levitt. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Clinical Cancer Research, Clinical Colorectal Cancer and The American Journal of Gastroenterology.

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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