Mark Bower

20.3k citations
346 papers · 12.2k · 1 hit paper · h-index 59

Impact in

Papers in

Mark Bower

337 papers receiving 11.6k citations

Mark Bower's Hit Papers

Kaposi sarcoma 2019 · 439 citations
4390+2+4Years since publication100200300400

Peers

Mark Bower
Comparison fields: 5 of 148
  • Oncology 5.9k
  • Pathology and Forensic Medicine 2.3k
  • Virology 575
  • Genetics 905
  • Infectious Diseases 1.5k
Replace Justin Stebbing with:
Justin Stebbing United Kingdom
Richard F. Ambinder United States
Martine Raphaël France
Emanuela Vaccher Italy
Fabio Facchetti Italy
Rebecca Gelman United States
Susan E. Krown United States
Robert J. Soiffer United States
Eckhard Thiel Germany
Roland L. Bassett United States
Mark Bower relative to Justin Stebbing United Kingdom Justin Stebbing's profile →
Citations per field
00.5×1.5×1.9×
Justin Stebbing · 1×
Citations per year

Countries citing papers authored by Mark Bower

Since Specialization
Citations

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

Fields of papers citing papers by Mark Bower

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 346 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Kaposi sarcoma
Hit paper breakdown →
2019439
2 2005302
3 2008280
4 2017257
5 1997251
6
Phase I trial of temozolomide using an extended continuous oral schedule.
1998239
7 1997198
8 2005191
9 2008179
10 2010172
11 2000169
12 2004160
13 2004146
14 2007143
15 1999139
16 2010138
17 1996138
18 2003136
19 2011133
20 2012131

About Mark Bower

Mark Bower is a scholar working on Oncology, Pathology and Forensic Medicine, Epidemiology, Infectious Diseases and Surgery, having authored 346 papers that have together received 12.2k indexed citations. Recurring topics across this work include Viral-associated cancers and disorders (149 papers), Lymphoma Diagnosis and Treatment (67 papers), HIV/AIDS drug development and treatment (34 papers), Cytomegalovirus and herpesvirus research (29 papers), HIV Research and Treatment (26 papers), CNS Lymphoma Diagnosis and Treatment (18 papers), Immune Cell Function and Interaction (17 papers) and Polyomavirus and related diseases (15 papers). The work is most often cited by research in Oncology (5.9k citations), Pathology and Forensic Medicine (2.3k citations), Virology (575 citations), Genetics (905 citations) and Infectious Diseases (1.5k citations). Mark Bower has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Mark Nelson, Justin Stebbing, Brian Gazzard, Sundhiya Mandalia, E.S. Newlands, Tom Powles, Gordon Rustin, Tom Newsom‐Davis, L. Holden and Ashita Waterston. Their work appears in journals such as AIDS, Journal of Clinical Oncology, Blood, European Journal of Cancer and British Journal of Cancer.

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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