Mark M. Kushnir

5.3k citations
96 papers · 4.0k indexed · h-index 35

Mark M. Kushnir

94 papers receiving 3.8k citations

Peers

Mark M. Kushnir
Comparison fields: 5 of 138
  • Endocrinology, Diabetes and Metabolism 1.8k
  • Behavioral Neuroscience 387
  • Reproductive Medicine 471
  • Spectroscopy 631
  • Toxicology 124
Replace A.W. Meikle with:
A.W. Meikle United States
Uta Ceglarek Germany
Don H. Catlin United States
John W. Honour United Kingdom
Andrew T. Kicman United Kingdom
Stefan A. Wudy Germany
J. F. Tait United States
Mariëtte T. Ackermans Netherlands
Joseph W. Goldzieher United States
Harald S. Hansen Denmark
Mark M. Kushnir relative to A.W. Meikle United States A.W. Meikle's profile →
Citations per field
00.5×6.9×
A.W. Meikle · 1×
Citations per year

Countries citing papers authored by Mark M. Kushnir

Since Specialization
Citations

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

Fields of papers citing papers by Mark M. Kushnir

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202212
4 20224
5 20222
6 20175
7 20168
8 20157
9 201326
10 201356
11 20120
12 201294
13 201220
14 20116
15 200734
16 200794
17 200628
18 200427
19 200017
20 199914

About Mark M. Kushnir

Mark M. Kushnir is a scholar working on Behavioral Neuroscience, Endocrinology, Diabetes and Metabolism, Reproductive Medicine, Toxicology and Clinical Biochemistry, having authored 96 papers that have together received 4.0k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (39 papers), Estrogen and related hormone effects (13 papers), Stress Responses and Cortisol (11 papers), Hormonal Regulation and Hypertension (10 papers), Mass Spectrometry Techniques and Applications (9 papers), Sexual Differentiation and Disorders (9 papers), Pesticide Residue Analysis and Safety (8 papers) and Folate and B Vitamins Research (8 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.8k citations), Behavioral Neuroscience (387 citations), Reproductive Medicine (471 citations), Spectroscopy (631 citations) and Toxicology (124 citations). Mark M. Kushnir has collaborated with scholars based in United States, Sweden and Netherlands. Frequent co-authors include Alan L. Rockwood, A.W. Meikle, Jonas Bergquist, William L. Roberts, Bingfang Yue, Francis M. Urry, Ashley M. Bunker, Gordon J. Nelson, Anna-Karin Lennartsson and Ingibjörg H. Jónsdóttir. Their work appears in journals such as Clinical Chemistry, Journal of Analytical Toxicology, Clinica Chimica Acta, Clinical Biochemistry and The Journal of Clinical Endocrinology & Metabolism.

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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