Johnson Thomas

735 total citations
41 papers, 555 citations indexed

About

Johnson Thomas is a scholar working on Endocrinology, Diabetes and Metabolism, Radiology, Nuclear Medicine and Imaging and Molecular Biology. According to data from OpenAlex, Johnson Thomas has authored 41 papers receiving a total of 555 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Endocrinology, Diabetes and Metabolism, 11 papers in Radiology, Nuclear Medicine and Imaging and 9 papers in Molecular Biology. Recurrent topics in Johnson Thomas's work include Thyroid Cancer Diagnosis and Treatment (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Artificial Intelligence in Healthcare and Education (7 papers). Johnson Thomas is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (12 papers), Radiomics and Machine Learning in Medical Imaging (11 papers) and Artificial Intelligence in Healthcare and Education (7 papers). Johnson Thomas collaborates with scholars based in United States, India and Portugal. Johnson Thomas's co-authors include Franklin N. Tessler, Rod A. Herman, Daland R. Juberg, Katherine K. Coady, Bryan Delaney, Sabitha Papineni, Keith J. Brooks, David R. Geter, David W. Hecht and Rebecca J. Currie and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of Immunology and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Johnson Thomas

38 papers receiving 527 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Johnson Thomas United States 14 169 156 101 96 77 41 555
Natalie Abrams United States 14 303 1.8× 11 0.1× 199 2.0× 33 0.3× 10 0.1× 20 684
Hongbo Zhao China 17 319 1.9× 23 0.1× 43 0.4× 32 0.3× 7 0.1× 66 693
Axel Bube Germany 5 175 1.0× 81 0.5× 41 0.4× 24 0.3× 76 1.0× 7 584
D K Biswas India 14 258 1.5× 50 0.3× 75 0.7× 35 0.4× 12 0.2× 33 580
Sabine Witt Germany 16 244 1.4× 84 0.5× 223 2.2× 25 0.3× 7 0.1× 70 785
Hitoshi Kandori Japan 9 253 1.5× 55 0.4× 43 0.4× 13 0.1× 44 0.6× 22 591
R. L. Gregson United States 9 202 1.2× 22 0.1× 70 0.7× 21 0.2× 64 0.8× 16 615
Jennifer M. Thurmond United States 18 700 4.1× 44 0.3× 86 0.9× 28 0.3× 8 0.1× 28 1.2k
Lai‐Chen Tsai Taiwan 15 145 0.9× 58 0.4× 16 0.2× 20 0.2× 20 0.3× 34 534
Charlotte M. Keenan United States 12 143 0.8× 16 0.1× 51 0.5× 33 0.3× 92 1.2× 23 835

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-authorship network of co-authors of Johnson Thomas

This figure shows the co-authorship network connecting the top 25 collaborators of Johnson Thomas. A scholar is included among the top collaborators of Johnson Thomas based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johnson Thomas. Johnson Thomas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Thomas, Johnson, et al.. (2025). Retrieval Augmented Medical Diagnosis System. Biology Methods and Protocols. 10(1). bpaf017–bpaf017. 3 indexed citations
3.
Thomas, Johnson. (2024). Predicting Differentiated Thyroid Cancer Outcomes Using Machine Learning: A Move toward Precision Medicine. Clinical Thyroidology. 36(2). 64–66. 2 indexed citations
4.
Malik, Iftikhar Ahmed, et al.. (2024). Efficacy of echolaser smart interface-guided laser ablation in volume reduction of symptomatic benign thyroid nodules. Frontiers in Endocrinology. 15. 1402522–1402522. 1 indexed citations
6.
Tessler, Franklin N. & Johnson Thomas. (2022). Artificial Intelligence for Evaluation of Thyroid Nodules: A Primer. Thyroid. 33(2). 150–158. 33 indexed citations
7.
Thomas, Johnson, et al.. (2020). AIBx, Artificial Intelligence Model to Risk Stratify Thyroid Nodules. Thyroid. 30(6). 878–884. 60 indexed citations
8.
Shifrin, Alexander L., Marc Frager, Ricardo H. Bardales, et al.. (2020). Clinical performance of multiplatform mutation panel and microRNA risk classifier in indeterminate thyroid nodules. Journal of the American Society of Cytopathology. 9(4). 232–241. 22 indexed citations
9.
Papineni, Sabitha, et al.. (2018). Evaluation of 30% DAS-444Ø6-6 soybean meal in a subchronic rat toxicity study. Regulatory Toxicology and Pharmacology. 94. 57–69. 8 indexed citations
10.
Papineni, Sabitha, et al.. (2017). Evaluation of the safety of a genetically modified DAS-444Ø6-6 soybean meal and hulls in a 90-day dietary toxicity study in rats. Food and Chemical Toxicology. 109(Pt 1). 245–252. 19 indexed citations
11.
Rasoulpour, Reza J., M. Sue Marty, Fagen Zhang, et al.. (2015). Pronamide: Human relevance of liver-mediated rat leydig cell tumors. Regulatory Toxicology and Pharmacology. 72(2). 394–404. 8 indexed citations
12.
Thomas, Johnson, et al.. (2013). Nonislet Cell Tumor Hypoglycemia. SHILAP Revista de lepidopterología. 2013. 1–3. 9 indexed citations
14.
Coady, Katherine K., et al.. (2013). An evaluation of 2,4-dichlorophenoxyacetic acid in the Amphibian Metamorphosis Assay and the Fish Short-Term Reproduction Assay. Ecotoxicology and Environmental Safety. 90. 143–150. 28 indexed citations
15.
Boverhof, Darrell R., et al.. (2012). Assessment of the immunotoxic potential of trichloroethylene and perchloroethylene in rats following inhalation exposure. Journal of Immunotoxicology. 10(3). 311–320. 5 indexed citations
16.
Stagg, Nicola J., Johnson Thomas, Rod A. Herman, & Daland R. Juberg. (2011). Acute and 28-day repeated dose toxicology studies in mice with aryloxyalkanoate dioxygenase (AAD-1) protein expressed in 2,4-D tolerant DAS-40278-9 maize. Regulatory Toxicology and Pharmacology. 62(2). 363–370. 18 indexed citations
17.
Kwan, Jennifer M., Arsénio M. Fialho, Johnson Thomas, et al.. (2009). Bacterial proteins as potential drugs in the treatment of leukemia. Leukemia Research. 33(10). 1392–1399. 29 indexed citations
18.
Thomas, Johnson, Joseph K. Haseman, Jay I. Goodman, et al.. (2007). A Review of Large Granular Lymphocytic Leukemia in Fischer 344 Rats as an Initial Step Toward Evaluating the Implication of the Endpoint to Human Cancer Risk Assessment. Toxicological Sciences. 99(1). 3–19. 26 indexed citations
19.
Thomas, Johnson & David W. Hecht. (2007). Interaction of Bacteroides fragilis pLV22a relaxase and transfer DNA with Escherichia coli RP4‐TraG coupling protein. Molecular Microbiology. 66(4). 948–960. 12 indexed citations
20.
Thomas, Johnson, et al.. (1961). Recovery of 5 Patients from Hepatic Coma of Viral Origin during Pregnancy.. 21(1). 45–58. 1 indexed citations

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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