Michael D. Farwell

3.3k citations
51 papers · 1.1k indexed · h-index 17
Topics
Cancer Immunotherapy and Biomarkers (19 papers)CAR-T cell therapy research (15 papers)Medical Imaging Techniques and Applications (14 papers)
Journals
Journal of Clinical InvestigationJournal of Clinical OncologySHILAP Revista de lepidopterología
Partner nations
United StatesFranceJapan

In The Last Decade

Michael D. Farwell

48 papers receiving 1.1k citations

Peers

Michael D. Farwell
Comparison fields: 5 of 95
  • Oncology 588
  • Radiology, Nuclear Medicine and Imaging 404
  • Molecular Biology 263
  • Pulmonary and Respiratory Medicine 207
  • Immunology 160
Replace Matthias Holdhoff with:
Matthias Holdhoff United States
Franziska Eckert Germany
Sridhar Epari India
Jordonna Fulop United States
Rajiv Magge United States
Marcus Unterrainer Germany
MacLean P. Nasrallah United States
Sied Kebir Germany
Weiming Shi United States
Corey Neff United States
Michael D. Farwell relative to Matthias Holdhoff United States Matthias Holdhoff's profile →
Citations per field
00.5×1.5×
Matthias Holdhoff · 1×
Citations per year

Countries citing papers authored by Michael D. Farwell

Since Specialization
Citations

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

Fields of papers citing papers by Michael D. Farwell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michael D. Farwell. 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 Michael D. Farwell. The network helps show where Michael D. Farwell may publish in the future.

Co-authorship network of co-authors of Michael D. Farwell

This figure shows the co-authorship network connecting the top 25 collaborators of Michael D. Farwell. A scholar is included among the top collaborators of Michael D. Farwell 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 Michael D. Farwell. Michael D. Farwell 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
#WorkIndexed citations
1 3
2 10
3 0
4 2
5 4
6 11
7 34
8 21
9 24
10 80
11 14
12 10
13 29
14 76
15 3
16 79
17 80
18 30
19 16
20 6

About Michael D. Farwell

Michael D. Farwell is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 51 papers that have together received 1.1k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (19 papers), CAR-T cell therapy research (15 papers) and Medical Imaging Techniques and Applications (14 papers). The work is most often cited by research in Oncology (588 citations), Radiology, Nuclear Medicine and Imaging (404 citations) and Cancer Research (138 citations). Michael D. Farwell has collaborated with scholars based in United States, France and Japan. Frequent co-authors include David A. Mankoff, Daniel A. Pryma, Amy S. Clark, Masanori Ichise, Robert H. Mach, Robert K. Doot, Austin R. Pantel, Mark A. Sellmyer, Catherine Hou and Lilie L. Lin. Their work appears in journals such as Journal of Clinical Investigation, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

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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