J HASEMAN

1.2k citations
14 papers · 1.0k · h-index 11

Impact in

Papers in

J HASEMAN

14 papers receiving 928 citations

Peers

J HASEMAN
Comparison fields: 5 of 86
  • Health, Toxicology and Mutagenesis 527
  • Cancer Research 386
  • Chemical Health and Safety 13
  • Small Animals 97
  • Reproductive Medicine 56
Replace Kathleen H. Mavournin with:
Kathleen H. Mavournin United States
Linda Pluta United States
Deodutta Roy United States
Barbara Heinrich-Hirsch Germany
Maurizio Taningher Italy
J.S. Wassom United States
Michael Schwarz Germany
Charles H. Sewall United States
S. D. Vesselinovitch United States
Alan L. Mendrala United States
J HASEMAN relative to Kathleen H. Mavournin United States Kathleen H. Mavournin's profile →
Citations per field
00.5×3.5×
Kathleen H. Mavournin · 1×
Citations per year

Countries citing papers authored by J HASEMAN

Since Specialization
Citations

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

Fields of papers citing papers by J HASEMAN

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 1999203
2 2001162
3 1991136
4 2001118
5 199193
6 198385
7 198580
8 200545
9 200133
10 199227
11 198817
12 20055
13 19892
14 20011

About J HASEMAN

J HASEMAN is a scholar working on Health, Toxicology and Mutagenesis, Cancer Research, Genetics, Oncology and Computational Theory and Mathematics, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Carcinogens and Genotoxicity Assessment (7 papers), Effects and risks of endocrine disrupting chemicals (5 papers), Estrogen and related hormone effects (4 papers), Toxic Organic Pollutants Impact (4 papers), Hormonal and reproductive studies (2 papers), Computational Drug Discovery Methods (2 papers), Endometrial and Cervical Cancer Treatments (1 paper) and Adipose Tissue and Metabolism (1 paper). The work is most often cited by research in Health, Toxicology and Mutagenesis (527 citations), Cancer Research (386 citations), Chemical Health and Safety (13 citations), Small Animals (97 citations) and Reproductive Medicine (56 citations). J HASEMAN has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include J. E. Huff, John Ashby, H. Tinwell, John R. Bucher, David P. Rall, Lesley Onyon, J. Ashby, Penelope A. Fenner-Crisp, William Owens and Jun Kanno. Their work appears in journals such as Environmental Health Perspectives, The Annual Review of Pharmacology and Toxicology, Regulatory Toxicology and Pharmacology, Apmis and Food and Chemical Toxicology.

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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