Patrick B. Thomas

517 citations
29 papers · 378 indexed · h-index 13

Impact in

Papers in

    • RNA Research and Splicing 4
    • RNA modifications and cancer 3
    • Machine Learning in Bioinformatics 2
    • Genomics and Phylogenetic Studies 2

Patrick B. Thomas

28 papers receiving 369 citations

Peers

Patrick B. Thomas
Comparison fields: 5 of 97
  • Cancer Research 81
  • Endocrine and Autonomic Systems 26
  • Aging 6
  • Oncology 85
  • Molecular Biology 188
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Citations per field
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Citations per year

Countries citing papers authored by Patrick B. Thomas

Since Specialization
Citations

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

Fields of papers citing papers by Patrick B. Thomas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202148
2 201743
3 202232
4 201432
5
Axis duplication and anterior identity in the mouse embryo.
199729
6 202224
7 201322
8 202122
9 201620
10
An assessment of COMPOSER: a rule-based approach to modelling protein structure.
199019
11 201714
12 201914
13 202212
14 202110
15 20236
16 20216
17 20184
18 20214
19 20183
20
[Prognostic factors of lung cancer].
19933

About Patrick B. Thomas

Patrick B. Thomas is a scholar working on Molecular Biology, Oncology, Cancer Research, Physiology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 378 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (5 papers), RNA Research and Splicing (4 papers), Adipose Tissue and Metabolism (4 papers), Biochemical Analysis and Sensing Techniques (3 papers), RNA modifications and cancer (3 papers), Regulation of Appetite and Obesity (3 papers), Machine Learning in Bioinformatics (2 papers) and Genomics and Phylogenetic Studies (2 papers). The work is most often cited by research in Cancer Research (81 citations), Endocrine and Autonomic Systems (26 citations), Aging (6 citations), Oncology (85 citations) and Molecular Biology (188 citations). Patrick B. Thomas has collaborated with scholars based in Australia, China and United Kingdom. Frequent co-authors include Lisa K. Chopin, Penny L. Jeffery, Inge Seim, Elizabeth D. Williams, Colleen C. Nelson, Ian Vela, Eliza Whiteside, Adrian C. Herington, R. S. P. Beddington and Heike Pöpperl. Their work appears in journals such as Lung Cancer, International Journal of Oncology, Journal of Visualized Experiments, Cancers and Clinical & Translational Immunology.

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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