Igor Khait

26 papers receiving 517 citations

Peers

Igor Khait
Comparison fields: 5 of 74
  • Clinical Biochemistry 76
  • Cell Biology 151
  • Molecular Biology 291
  • Cellular and Molecular Neuroscience 67
  • Spectroscopy 53
Replace W. Sachsenheimer with:
W. Sachsenheimer Germany
Matthias Spindler Germany
L. A. Katz United States
C. Barlow United States
F. Joubert France
S. Davies United Kingdom
J. Janke Germany
Valerie V. Kupriyanov Canada
V.V. Kupriyanov Canada
Walter E. Teague United States
Igor Khait relative to W. Sachsenheimer Germany W. Sachsenheimer's profile →
Citations per field
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W. Sachsenheimer · 1×
Citations per year

Countries citing papers authored by Igor Khait

Since Specialization
Citations

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

Fields of papers citing papers by Igor Khait

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 199084
2 198970
3 199860
4 200139
5 199734
6
Electrode-derived myocardial pH measurements reflect intracellular myocardial metabolism assessed by phosphorus 31-nuclear magnetic resonance spectroscopy during normothermic ischemia.
199231
7 199230
8 199929
9 199824
10 198924
11 198419
12 199718
13 198417
14 200011
15 198110
16 198210
17 19837
18 19935
19 19795
20 19814

About Igor Khait

Igor Khait is a scholar working on Cell Biology, Molecular Biology, Radiology, Nuclear Medicine and Imaging, Organic Chemistry and Cellular and Molecular Neuroscience, having authored 27 papers that have together received 545 indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (6 papers), Muscle metabolism and nutrition (5 papers), Photochemistry and Electron Transfer Studies (4 papers), Metabolism and Genetic Disorders (3 papers), Biotin and Related Studies (3 papers), Sulfur-Based Synthesis Techniques (3 papers), Radical Photochemical Reactions (3 papers) and Organic Chemistry Cycloaddition Reactions (2 papers). The work is most often cited by research in Clinical Biochemistry (76 citations), Cell Biology (151 citations), Molecular Biology (291 citations), Cellular and Molecular Neuroscience (67 citations) and Spectroscopy (53 citations). Igor Khait has collaborated with scholars based in United States, Israel and Netherlands. Frequent co-authors include David Holtzman, Frances E. Jensen, K. A. Muszkat, L. J. Neuringer, Steven E. Shoelson, Michael A. Weiss, Bruce H. Frank, Elizabeth N. Allred, Allen H. Pekar and Robert V. Mulkern. Their work appears in journals such as Biochemistry, Pediatric Research, Epilepsy Research, Brain Research and Biochemical Journal.

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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