Pat Mitchell

728 citations
23 papers · 560 · h-index 14

Impact in

Papers in

    • CAR-T cell therapy research 3
    • Cancer Immunotherapy and Biomarkers 3
    • PARP inhibition in cancer therapy 2
    • Lipoproteins and Cardiovascular Health 6

Pat Mitchell

22 papers receiving 548 citations

Peers

Pat Mitchell
Comparison fields: 5 of 67
  • Internal Medicine 51
  • Cardiology and Cardiovascular Medicine 149
  • Pharmacology 53
  • Oncology 146
  • Surgery 195
Replace Daniel J. Crona with:
Daniel J. Crona United States
Paweł Burchardt Poland
Gagan Sood United States
Brian A. Moser United States
Audrey Thomas‐Schoemann France
Céline Narjoz France
Hamim Zahir United States
Brian P. Monahan United States
JL Anderson United States
Yi‐Heng Li Taiwan
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Citations per field
00.5×1.7×
Daniel J. Crona · 1×
Citations per year

Countries citing papers authored by Pat Mitchell

Since Specialization
Citations

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

Fields of papers citing papers by Pat Mitchell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002126
2 201561
3 201253
4 200540
5 200835
6 201433
7 201830
8 201229
9 201226
10 200423
11 201920
12 201819
13 201117
14 202314
15 20179
16 20167
17 20136
18 20155
19 20194
20 20181

About Pat Mitchell

Pat Mitchell is a scholar working on Oncology, Surgery, Cardiology and Cardiovascular Medicine, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 23 papers that have together received 560 indexed citations. Recurring topics across this work include Antiplatelet Therapy and Cardiovascular Diseases (6 papers), Lipoproteins and Cardiovascular Health (6 papers), Pharmacogenetics and Drug Metabolism (3 papers), Adenosine and Purinergic Signaling (3 papers), CAR-T cell therapy research (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Lung Cancer Treatments and Mutations (3 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Internal Medicine (51 citations), Cardiology and Cardiovascular Medicine (149 citations), Pharmacology (53 citations), Oncology (146 citations) and Surgery (195 citations). Pat Mitchell has collaborated with scholars based in United States, United Kingdom and Singapore. Frequent co-authors include Paul Martin, Dennis W. Schneck, Kathleen Butler, Renli Teng, Rongyue Teng, Steven G. Simonson, Kenneth C. Lasseter, Bruce K. Birmingham, Ann S. LaCasce and Andrei R. Shustov. Their work appears in journals such as European Journal of Clinical Pharmacology, Cancer Research, Annals of Oncology, The Journal of Clinical Pharmacology and British Journal of Clinical Pharmacology.

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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