William Berry

1000 citations
16 papers · 675 · h-index 8

Impact in

    • Cancer, Lipids, and Metabolism
    • Cancer Immunotherapy and Biomarkers
    • PARP inhibition in cancer therapy

Papers in

William Berry

16 papers receiving 663 citations

Peers

William Berry
Comparison fields: 5 of 70
  • Cancer Research 164
  • Oncology 226
  • Pulmonary and Respiratory Medicine 252
  • Hepatology 48
  • Hematology 58
Replace Sasja F. Mulder with:
Sasja F. Mulder Netherlands
M. Puglisi Italy
Kian Fong Foo Singapore
Binh Nguyen United States
N. J. Vogelzang United States
Ilya Tsimafeyeu Russia
Joline S.J. Lim Singapore
Olugbenga Olowokure United States
A Yagoda United States
J. H. Doroshow United States
William Berry relative to Sasja F. Mulder Netherlands Sasja F. Mulder's profile →
Citations per field
00.5×1.5×1.9×
Sasja F. Mulder · 1×
Citations per year

Countries citing papers authored by William Berry

Since Specialization
Citations

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

Fields of papers citing papers by William Berry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William Berry. 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 William Berry. The network helps show where William Berry may publish in the future.

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2012302
2 2009262
3 201234
4 201615
5 200614
6 198712
7 20129
8 20178
9 20206
10 20133
11 20203
12 20213
13 20211
14 20091
15 20181
16 20181

About William Berry

William Berry is a scholar working on Pulmonary and Respiratory Medicine, Surgery, Oncology, Epidemiology and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 675 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (6 papers), Cancer Immunotherapy and Biomarkers (4 papers), Liver Disease Diagnosis and Treatment (3 papers), Organ Transplantation Techniques and Outcomes (3 papers), Liver Disease and Transplantation (3 papers), Radiopharmaceutical Chemistry and Applications (2 papers), Pancreatic and Hepatic Oncology Research (2 papers) and Cancer Treatment and Pharmacology (1 paper). The work is most often cited by research in Cancer Research (164 citations), Oncology (226 citations), Pulmonary and Respiratory Medicine (252 citations), Hepatology (48 citations) and Hematology (58 citations). William Berry has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Yan Zeng, Fang Fang, Jeanne M. Schilder, Kenneth P. Nephew, Daniela Matei, Changyu Shen, Tim H.‐M. Huang, Mojtaba Noursalehi, Nicholas D. James and Peter Harper. Their work appears in journals such as Journal of Clinical Oncology, Abdominal Radiology, Annals of Oncology, Australasian Journal of Dermatology and The Journal of Urology.

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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