Peter Bias

1.3k citations
44 papers · 1.0k · h-index 18

Impact in

  • Oncology top 10%
    • Neutropenia and Cancer Infections
    • Osteoarthritis Treatment and Mechanisms

Papers in

    • Neutropenia and Cancer Infections 20
    • Cancer Treatment and Pharmacology 2
    • Blood disorders and treatments 8

Peter Bias

44 papers receiving 1.0k citations

Peers

Peter Bias
Comparison fields: 5 of 81
  • Oncology 302
  • Rheumatology 150
  • Reproductive Medicine 78
  • Genetics 235
  • Hematology 86
Replace Oreste E. Salavaggione with:
Oreste E. Salavaggione United States
Wanlong Tan China
Claudia A. Salinas United States
Tzeon‐Jye Chiou Taiwan
P. Dodion Belgium
Glenn Tisman United States
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Jianhui Zhang China
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Citations per field
00.5×4.9×
Oreste E. Salavaggione · 1×
Citations per year

Countries citing papers authored by Peter Bias

Since Specialization
Citations

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

Fields of papers citing papers by Peter Bias

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008139
2 200481
3 200579
4 201376
5 200773
6 201671
7 200951
8 202044
9 200339
10 200832
11 200931
12 201429
13 200426
14 201322
15 200122
16 201621
17 201019
18 201418
19 201517
20
First clinical results of licofelone (ml3000), an inhibitor of COX-1, COX-2 and 5-LOX, for the treatment of osteoarthritis
200214

About Peter Bias

Peter Bias is a scholar working on Oncology, Genetics, Hematology, Molecular Biology and Pharmacology, having authored 44 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neutropenia and Cancer Infections (20 papers), Blood disorders and treatments (8 papers), Erythropoietin and Anemia Treatment (5 papers), Ovarian function and disorders (4 papers), Osteoarthritis Treatment and Mechanisms (3 papers), Inflammatory mediators and NSAID effects (3 papers), Acute Lymphoblastic Leukemia research (3 papers) and Cancer Treatment and Pharmacology (2 papers). The work is most often cited by research in Oncology (302 citations), Rheumatology (150 citations), Reproductive Medicine (78 citations), Genetics (235 citations) and Hematology (86 citations). Peter Bias has collaborated with scholars based in Germany, Russia and Ukraine. Frequent co-authors include Anton Buchner, Stefan Laufer, Oleg Gladkov, Christoph Behrens, Igor Bondarenko, T. Strowitzki, Waldemar Kuczyński, Boulos Haraoui, D. Choquette and Johanne Martel‐Pelletier. Their work appears in journals such as Supportive Care in Cancer, Journal of Clinical Oncology, Current Medical Research and Opinion, Reproductive Biology and Endocrinology and BioDrugs.

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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