Peter K. Working

85 papers receiving 3.9k citations

Peers

Peter K. Working
Comparison fields: 5 of 133
  • Reproductive Medicine 581
  • Biomaterials 983
  • Chemical Health and Safety 19
  • Cancer Research 397
  • Oncology 689
Replace Tadanori Mayumi with:
Tadanori Mayumi Japan
Teni Boulikas United States
Thomas Klonisch Canada
Anna Riccioli Italy
Yong Wang China
S. D. Conner United States
Sanjoy K. Das United States
Jérôme Gilleron France
Jeehyeon Bae South Korea
R. Ian Freshney United Kingdom
Peter K. Working relative to Tadanori Mayumi Japan Tadanori Mayumi's profile →
Citations per field
00.5×9.5×
Tadanori Mayumi · 1×
Citations per year

Countries citing papers authored by Peter K. Working

Since Specialization
Citations

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

Fields of papers citing papers by Peter K. Working

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996296
2 1999240
3 2006186
4 2004153
5
Pharmacological-toxicological expert report. CAELYX. (Stealth liposomal doxorubicin HCl).
1996136
6 1994135
7 1980134
8 2004133
9 1994133
10 1993125
11 1988112
12 1990112
13
Use of primary cultures of human hepatocytes in toxicology studies.
1989100
14 199999
15 197697
16 198878
17 198675
18 200570
19 200269
20 199465

About Peter K. Working

Peter K. Working is a scholar working on Molecular Biology, Reproductive Medicine, Public Health, Environmental and Occupational Health, Cancer Research and Health, Toxicology and Mutagenesis, having authored 85 papers that have together received 4.1k indexed citations. Recurring topics across this work include Sperm and Testicular Function (18 papers), Carcinogens and Genotoxicity Assessment (14 papers), Reproductive Biology and Fertility (13 papers), Virus-based gene therapy research (10 papers), Nanoparticle-Based Drug Delivery (10 papers), Effects and risks of endocrine disrupting chemicals (10 papers), Cancer Research and Treatments (7 papers) and RNA Interference and Gene Delivery (5 papers). The work is most often cited by research in Reproductive Medicine (581 citations), Biomaterials (983 citations), Chemical Health and Safety (19 citations), Cancer Research (397 citations) and Oncology (689 citations). Peter K. Working has collaborated with scholars based in United States, Netherlands and United Kingdom. Frequent co-authors include Michael Amantea, Mary S. Newman, Gail Colbern, Stanley Meizel, Mark E. Hurtt, Jan Vaage, Jerry L. Hedrick, A.D. Dayan, Francis J. Martin and Karin S. Bentley. Their work appears in journals such as Toxicology and Applied Pharmacology, Journal of Liposome Research, Reproductive Toxicology, Cancer Chemotherapy and Pharmacology and Antimicrobial Agents and Chemotherapy.

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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