Tillman Pearce

1.5k total citations · 1 hit paper
35 papers, 789 citations indexed

About

Tillman Pearce is a scholar working on Pulmonary and Respiratory Medicine, Oncology and Cancer Research. According to data from OpenAlex, Tillman Pearce has authored 35 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Pulmonary and Respiratory Medicine, 11 papers in Oncology and 10 papers in Cancer Research. Recurrent topics in Tillman Pearce's work include Lung Cancer Treatments and Mutations (7 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Cancer Research and Treatments (5 papers). Tillman Pearce is often cited by papers focused on Lung Cancer Treatments and Mutations (7 papers), Cancer, Hypoxia, and Metabolism (7 papers) and Cancer Research and Treatments (5 papers). Tillman Pearce collaborates with scholars based in United States, Australia and New Zealand. Tillman Pearce's co-authors include S. Mawdsley, Rob Glynne‐Jones, Marc Buyse, Apostolia M. Tsimberidou, Daniël W. Hommes, Abhijit Chakraborty, Elena Fountzilas, Mehmet A. Baysal, L Simón and Paul Rutgeerts and has published in prestigious journals such as Journal of Clinical Oncology, Gastroenterology and Cancer Research.

In The Last Decade

Tillman Pearce

33 papers receiving 770 citations

Hit Papers

Convergence of evolving artificial intelligence and machi... 2025 2026 2025 10 20 30 40 50

Peers

Tillman Pearce
Comparison fields: 5 of 85
  • Molecular Biology 225
  • Oncology 225
  • Immunology 176
  • Genetics 142
  • Epidemiology 133
Replace Anoma Nellore with:
Anoma Nellore United States
Jun Miyazaki Japan
Vinícius de Lima Vazquez Brazil
Rekha Gupta India
Larry Lo United States
Bernardino Allione Italy
Marcus Gorschlüter Germany
Diana Chan United States
Danielle N. Margalit United States
T. Klingebiel Germany
Anoma Nellore United States View profile →
Citations per field, relative to Tillman Pearce
Tillman Pearce · 1×
Citations per year, relative to Tillman Pearce
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Countries citing papers authored by Tillman Pearce

Since Specialization
Citations

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

Fields of papers citing papers by Tillman Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tillman Pearce

This figure shows the co-authorship network connecting the top 25 collaborators of Tillman Pearce. A scholar is included among the top collaborators of Tillman Pearce 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 Tillman Pearce. Tillman Pearce 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
# Work Indexed citations
1
Convergence of evolving artificial intelligence and machine learning techniques in precision oncology breakdown →
52
2 0
3 5
4 9
5 1
6 6
7 1
8 11
9 1
10 3
11 10
12 14
13 2
14 160
15 75
16 69
17 1
18 12
19 14
20 24

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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