Gary E. Kaufman

26 papers receiving 348 citations

Peers

Gary E. Kaufman
Comparison fields: 5 of 48
  • Biomedical Engineering 221
  • Biophysics 41
  • Physiology 20
  • Biotechnology 28
  • Cancer Research 39
Replace Deleana Pozzi with:
Deleana Pozzi Italy
Terushige Kawata Japan
T. Daniel Griffiths United States
Stine Krog Frandsen Denmark
Kazumi Sawazaki Japan
Flavia De Carlo Italy
Aneesh Neekhra United States
Lucía Speroni United States
C. Baumstark-Khan Germany
Luigi Abbro Italy
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Citations per field
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Citations per year

Countries citing papers authored by Gary E. Kaufman

Since Specialization
Citations

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

Fields of papers citing papers by Gary E. Kaufman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gary E. Kaufman. 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 Gary E. Kaufman. The network helps show where Gary E. Kaufman may publish in the future.

Co-authors

The 19 scholars most cited alongside Gary E. Kaufman, 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 Gary E. Kaufman Line = papers co-authored together Gary E. Kaufman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 197752
2 197844
3
Complications, sequela and dosimetry of iodine-131 therapy for thyroid carcinoma.
199241
4 197936
5 198024
6 198524
7 198722
8 197421
9 197614
10 197613
11 197613
12 197813
13 198113
14
Critical review of the biological effects of electric and magnetic fields
197310
15 19769
16 19778
17 19788
18 19746
19 19776
20 19754

About Gary E. Kaufman

Gary E. Kaufman is a scholar working on Physiology, Biophysics, Radiology, Nuclear Medicine and Imaging, Biomedical Engineering and Cancer Research, having authored 26 papers that have together received 395 indexed citations. Recurring topics across this work include Ultrasound and Hyperthermia Applications (10 papers), Effects of Radiation Exposure (7 papers), Magnetic and Electromagnetic Effects (4 papers), Electromagnetic Fields and Biological Effects (4 papers), Carcinogens and Genotoxicity Assessment (4 papers), Microtubule and mitosis dynamics (3 papers), Plant Molecular Biology Research (2 papers) and Space Science and Extraterrestrial Life (2 papers). The work is most often cited by research in Biomedical Engineering (221 citations), Biophysics (41 citations), Physiology (20 citations), Biotechnology (28 citations) and Cancer Research (39 citations). Gary E. Kaufman has collaborated with scholars based in United States, Malaysia and United Kingdom. Frequent co-authors include Morton W. Miller, T. Daniel Griffiths, Edwin L. Carstensen, Victor Ciaravino, Christopher S. Lange, Ying‐Kai Fu, David L. Bushnell, W. Earl Barnes, David G. Papworth and Sol M. Michaelson. Their work appears in journals such as Ultrasound in Medicine & Biology, Radiation Research, Environmental and Experimental Botany, Cellular Immunology and Journal of Theoretical Biology.

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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