Johnson Thomas

38 papers receiving 527 citations

Peers

Johnson Thomas
Comparison fields: 5 of 101
  • Health Informatics 68
  • Endocrinology, Diabetes and Metabolism 156
  • Health, Toxicology and Mutagenesis 77
  • Biotechnology 45
  • Radiology, Nuclear Medicine and Imaging 96
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Natalie Abrams United States
Hongbo Zhao China
Zhijian Yang China
Jennifer M. Thurmond United States
D K Biswas India
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Citations per field
00.5×10×14.2×
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Citations per year

Countries citing papers authored by Johnson Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Johnson Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202060
2 200950
3 200944
4 202233
5 200929
6 201328
7 201328
8 200726
9 200323
10 202022
11 201719
12 202019
13 201118
14 202215
15 201213
16 200712
17 201112
18
Effect of splenectomy in combination with FK 506 and 15-deoxyspergualin on cardiac xenograft survival.
199111
19 201211
20 201911

About Johnson Thomas

Johnson Thomas is a scholar working on Health Informatics, Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging, Cancer Research and Biotechnology, having authored 41 papers that have together received 555 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers), Artificial Intelligence in Healthcare and Education (7 papers), Carcinogens and Genotoxicity Assessment (6 papers), Genetically Modified Organisms Research (4 papers), Animal Genetics and Reproduction (3 papers), Environmental Toxicology and Ecotoxicology (2 papers) and Cancer Research and Treatments (2 papers). The work is most often cited by research in Health Informatics (68 citations), Endocrinology, Diabetes and Metabolism (156 citations), Health, Toxicology and Mutagenesis (77 citations), Biotechnology (45 citations) and Radiology, Nuclear Medicine and Imaging (96 citations). Johnson Thomas has collaborated with scholars based in United States, India and Portugal. Frequent co-authors include Franklin N. Tessler, Daland R. Juberg, Rod A. Herman, Katherine K. Coady, Keith J. Brooks, Bryan Delaney, Sabitha Papineni, David R. Geter, David W. Hecht and Tapas K. Das Gupta. Their work appears in journals such as Regulatory Toxicology and Pharmacology, Food and Chemical Toxicology, Thyroid, Endocrine Practice and Leukemia Research.

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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