Mark M. Kushnir

5.4k citations
97 papers · 4.2k · h-index 36

Impact in

Papers in

Mark M. Kushnir

95 papers receiving 4.0k citations

Peers

Mark M. Kushnir
Comparison fields: 5 of 135
  • Endocrinology, Diabetes and Metabolism 1.6k
  • Behavioral Neuroscience 310
  • Reproductive Medicine 354
  • Spectroscopy 648
  • Toxicology 126
Replace A.W. Meikle with:
A.W. Meikle United States
Man Ho Choi South Korea
Don H. Catlin United States
Uta Ceglarek Germany
John W. Honour United Kingdom
C.H.L. Shackleton United States
Andrew T. Kicman United Kingdom
Robert L. Fitzgerald United States
Harald S. Hansen Denmark
Norman Taylor United Kingdom
Mark M. Kushnir relative to A.W. Meikle United States A.W. Meikle's profile →
Citations per field
00.5×7.4×
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-authors

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

Showing the 20 most-cited of 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010246
2 2010197
3 2008182
4 2013153
5 2012146
6 2005144
7 2001141
8 2009130
9 2005125
10 2005124
11 2008117
12 2008110
13 2004108
14 2002105
15 2006105
16 200797
17 201294
18 201476
19 201475
20 201272

About Mark M. Kushnir

Mark M. Kushnir is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Spectroscopy, Oncology and Rheumatology, having authored 97 papers that have together received 4.2k indexed citations. Recurring topics across this work include Hormonal and reproductive studies (29 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Mass Spectrometry Techniques and Applications (7 papers), Hormonal Regulation and Hypertension (6 papers), Estrogen and related hormone effects (6 papers), Analytical Chemistry and Chromatography (6 papers), Folate and B Vitamins Research (6 papers) and Sexual Differentiation and Disorders (5 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.6k citations), Behavioral Neuroscience (310 citations), Reproductive Medicine (354 citations), Spectroscopy (648 citations) and Toxicology (126 citations). Mark M. Kushnir has collaborated with scholars based in United States, Sweden and United Kingdom. Frequent co-authors include Alan L. Rockwood, A.W. Meikle, Jonas Bergquist, William L. Roberts, Bingfang Yue, Francis M. Urry, Gordon J. Nelson, Ashley M. Bunker, Ingibjörg H. Jónsdóttir and Anna-Karin Lennartsson. Their work appears in journals such as Clinical Chemistry, Journal of Analytical Toxicology, Clinica Chimica Acta, The Journal of Clinical Endocrinology & Metabolism and Clinical Biochemistry.

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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