Pirow Bekker

8.1k citations
76 papers · 5.8k indexed · 4 hit papers · h-index 27

Pirow Bekker

75 papers receiving 5.6k citations

Hit Papers

Avacopan for the T...5482004202620112018250500750

Peers

Pirow Bekker
Comparison fields: 5 of 106
  • Orthopedics and Sports Medicine 1.6k
  • Oncology 3.0k
  • Nephrology 648
  • Rheumatology 1.2k
  • Immunology 1.2k
Replace Maria Greenwald with:
Maria Greenwald United States
Roger Dansey United States
Ingo Diel Germany
Catherine Van Poznak United States
Ashraf Badros United States
Aristotelis Bamias Greece
Philippe Beuzeboc France
Jean‐Paul Fermand France
Shunji Takahashi Japan
John J. Seaman United States
Pirow Bekker relative to Maria Greenwald United States Maria Greenwald's profile →
Citations per field
00.5×
Maria Greenwald · 1×
Citations per year

Countries citing papers authored by Pirow Bekker

Since Specialization
Citations

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

Fields of papers citing papers by Pirow Bekker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 202310
3 20221
4 20212
5 202046
6
Randomized Trial of C5a Receptor Inhibitor Avacopan in ANCA-Associated Vasculitisbreakdown →
2017420
7 2016115
8 201518
9 2015220
10
Phase 2 randomised trial of oral C5A receptor antagonist CCX168 in ANCA-associated renal vasculitis
20144
11 2013110
12 201276
13 2010130
14
MEDI 167-Discovery of the highly potent, selective and orally bioavailable CCR9 antagonist CCX282-B
20081
15 20071
16 200616
17
Denosumab in Postmenopausal Women with Low Bone Mineral Densitybreakdown →
2006886
18 2004385
19 199413
20 199322

About Pirow Bekker

Pirow Bekker is a scholar working on Genetics, Oncology and Orthopedics and Sports Medicine, having authored 76 papers that have together received 5.8k indexed citations. Recurring topics across this work include Bone health and treatments (22 papers), Vasculitis and related conditions (20 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (13 papers), Chemokine receptors and signaling (9 papers), Bone Metabolism and Diseases (9 papers), Bone health and osteoporosis research (8 papers), Otitis Media and Relapsing Polychondritis (7 papers) and Renal Diseases and Glomerulopathies (6 papers). The work is most often cited by research in Orthopedics and Sports Medicine (1.6k citations), Oncology (3.0k citations) and Nephrology (648 citations). Pirow Bekker has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Donna Holloway, Thomas J. Schall, David Jayne, Colin R. Dunstan, Philip T. Leese, Peter A. Merkel, Stanley Cohen, Mark Peterson, Steven W. Martin and Paul D. Miller. Their work appears in journals such as New England Journal of Medicine, Journal of Clinical Oncology and 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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