Thomas Padgett

425 total citations · 1 hit paper
6 papers, 352 citations indexed

About

Thomas Padgett is a scholar working on Animal Science and Zoology, Genetics and Infectious Diseases. According to data from OpenAlex, Thomas Padgett has authored 6 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Animal Science and Zoology, 2 papers in Genetics and 1 paper in Infectious Diseases. Recurrent topics in Thomas Padgett's work include Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (2 papers) and Fish Ecology and Management Studies (1 paper). Thomas Padgett is often cited by papers focused on Animal Virus Infections Studies (3 papers), Virus-based gene therapy research (2 papers) and Fish Ecology and Management Studies (1 paper). Thomas Padgett collaborates with scholars based in United States, United Kingdom and Denmark. Thomas Padgett's co-authors include Harold Varmus, J. Michael Bishop, Suzanne Heasley, Daisy Roulland-Dussoix, Karen Smith, Deborah H. Spector, Pamela McCombe, C. Moscovici, D. Stéhelin and Donald J. Fujita and has published in prestigious journals such as Cell, Virology and Royal Society Open Science.

In The Last Decade

Thomas Padgett

5 papers receiving 312 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cellular functions are required for the synthesis and integration of avian sarcoma virus-specific DNA

1977 197 citations Harold Varmus, Thomas Padgett et al. Cell profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Thomas Padgett United States	4	189	154	62	59	56	6	352
A Tereba United States	12	262 1.4×	108 0.7×	67 1.1×	82 1.4×	40 0.7×	13	420
G. Verdier France	16	388 2.1×	291 1.9×	36 0.6×	73 1.2×	33 0.6×	27	596
T.Gordon Wood United States	11	351 1.9×	203 1.3×	40 0.6×	53 0.9×	68 1.2×	18	526
P N Tsichlis United States	11	234 1.2×	128 0.8×	53 0.9×	27 0.5×	155 2.8×	12	465
Wen-Yuan Hu United States	8	389 2.1×	88 0.6×	31 0.5×	37 0.6×	38 0.7×	11	470
Kristina Quade United Kingdom	10	291 1.5×	238 1.5×	75 1.2×	22 0.4×	61 1.1×	13	443
J P Puma United States	8	219 1.2×	116 0.8×	31 0.5×	85 1.4×	103 1.8×	9	399
Ann Brasey Canada	6	278 1.5×	76 0.5×	34 0.5×	68 1.2×	118 2.1×	9	433
Daphne C. Avgousti United States	11	320 1.7×	149 1.0×	23 0.4×	33 0.6×	93 1.7×	15	486
Tetsuro Komatsu Japan	12	327 1.7×	225 1.5×	29 0.5×	19 0.3×	59 1.1×	16	424

Countries citing papers authored by Thomas Padgett

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Padgett

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Padgett

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Padgett. A scholar is included among the top collaborators of Thomas Padgett 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 Thomas Padgett. Thomas Padgett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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6 of 6 papers shown

1.

McEwan, Phil, et al.. (2025). The evolving burden of obesity in the US: a novel population-level system dynamics approach. Journal of Medical Economics. 28(1). 1512–1525.

2.

Mendes, Diana, Thomas Padgett, W. David Strain, et al.. (2024). Modelling COVID-19 Vaccination in the UK: Impact of the Autumn 2022 and Spring 2023 Booster Campaigns. Infectious Diseases and Therapy. 13(5). 1127–1146. 2 indexed citations

3.

Padgett, Thomas, et al.. (2020). Individual-based model of juvenile eel movement parametrized with computational fluid dynamics-derived flow fields informs improved fish pass design. Royal Society Open Science. 7(1). 191505–191505. 13 indexed citations

4.

Spector, Deborah H., Karen Smith, Thomas Padgett, et al.. (1978). Uninfected avian cells contain RNA related to the transforming gene of avian sarcoma viruses. Cell. 13(2). 371–379. 100 indexed citations

5.

Varmus, Harold, et al.. (1977). Cellular functions are required for the synthesis and integration of avian sarcoma virus-specific DNA. Cell. 11(2). 307–319. 197 indexed citations breakdown →

6.

Stéhelin, D., Donald J. Fujita, Thomas Padgett, Harold Varmus, & J. Michael Bishop. (1977). Detection and enumeration of transformation-defective strains of avian sarcoma virus with molecular hybridization. Virology. 76(2). 675–684. 40 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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