Tim Sobolevsky

30 papers receiving 784 citations

Peers

Tim Sobolevsky
Comparison fields: 5 of 87
  • Toxicology 350
  • Pharmacology 288
  • Spectroscopy 221
  • Endocrinology, Diabetes and Metabolism 209
  • Animal Science and Zoology 76
Replace Г. М. Родченков with:
Г. М. Родченков Russia
Moon Kyo In South Korea
Oliver Krug Germany
Jin Young Kim South Korea
Sara Odoardi Italy
Giampietro Frison Italy
Camilla Montesano Italy
Thomas Bassindale United Kingdom
Yan Shi China
Ruri Kikura Japan
Tim Sobolevsky relative to Г. М. Родченков Russia Г. М. Родченков's profile →
Citations per field
00.5×1.5×
Г. М. Родченков · 1×
Citations per year

Countries citing papers authored by Tim Sobolevsky

Since Specialization
Citations

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

Fields of papers citing papers by Tim Sobolevsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Tim Sobolevsky, 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 Tim Sobolevsky Line = papers co-authored together Tim Sobolevsky links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010197
2 2012117
3 200373
4 201171
5 200857
6 200348
7 201236
8 201434
9 200331
10 201428
11 200223
12 201221
13 202018
14 201216
15 20038
16 20057
17 20216
18 20186
19 20234
20 20104

About Tim Sobolevsky

Tim Sobolevsky is a scholar working on Endocrinology, Diabetes and Metabolism, Spectroscopy, Pharmacology, Cell Biology and Molecular Biology, having authored 31 papers that have together received 827 indexed citations. Recurring topics across this work include Hormonal and reproductive studies (13 papers), Mass Spectrometry Techniques and Applications (8 papers), Analytical Chemistry and Chromatography (7 papers), Forensic Toxicology and Drug Analysis (6 papers), Muscle metabolism and nutrition (6 papers), Analytical chemistry methods development (4 papers), Pharmacology and Obesity Treatment (4 papers) and Alcohol Consumption and Health Effects (3 papers). The work is most often cited by research in Toxicology (350 citations), Pharmacology (288 citations), Spectroscopy (221 citations), Endocrinology, Diabetes and Metabolism (209 citations) and Animal Science and Zoology (76 citations). Tim Sobolevsky has collaborated with scholars based in United States, Russia and Germany. Frequent co-authors include Г. М. Родченков, A. I. Revelsky, I. A. Revelsky, Edward Danielevich Virus, Barbara Miller, Brian Ahrens, Elena S. Chernetsova, Barbara Miller, A. Starostin and Katja Walpurgis. Their work appears in journals such as Drug Testing and Analysis, European Journal of Mass Spectrometry, Journal of Mass Spectrometry, Analytical and Bioanalytical Chemistry and Clinical Chemistry.

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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