Greg Finn
Impact in
- Immunology top 5%
- Toxin Mechanisms and Immunotoxins
- interferon and immune responses
- Immune Response and Inflammation
- Oncology top 5%
- Peptidase Inhibition and Analysis
Papers in
-
- Signaling Pathways in Disease 13
- Glycosylation and Glycoproteins Research 3
- Cancer-related gene regulation 2
- Fibroblast Growth Factor Research 2
- Oncology 7
- Peptidase Inhibition and Analysis 6
- Co-authors
- Kun Ping Lu (13 shared papers)Linda K. Nicholson (3 shared papers)Tae Ho Lee (5 shared papers)Gerburg M. Wulf (4 shared papers)Xiao Zhen Zhou (5 shared papers)Futoshi Suizu (2 shared papers)Martin Balaštík (4 shared papers)Jormay Lim (3 shared papers)
- Journals
- Blood (2 papers)Nature Cell Biology (2 papers)Nature Immunology (2 papers)Developmental Cell (1 paper)Molecular Cell (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Greg Finn
26 papers receiving 2.3k citations
Greg Finn's Hit Papers
Peers
Comparison fields: 5 of 113
- Immunology 638
- Oncology 655
- Molecular Biology 1.7k
- Cell Biology 212
- Cellular and Molecular Neuroscience 204
Countries citing papers authored by Greg Finn
This map shows the geographic impact of Greg Finn'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 Greg Finn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg Finn more than expected).
Fields of papers citing papers by Greg Finn
This network shows the impact of papers produced by Greg Finn. 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 Greg Finn. The network helps show where Greg Finn may publish in the future.
Co-authors
The 25 scholars most cited alongside Greg Finn, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Prolyl cis-trans isomerization as a molecular timer Hit paper breakdown → | 2007 | 523 |
| 2 | 2006 | 412 | |
| 3 | 2006 | 260 | |
| 4 | 2005 | 198 | |
| 5 | 2012 | 131 | |
| 6 | 2005 | 115 | |
| 7 | 2008 | 94 | |
| 8 | 2008 | 93 | |
| 9 | 2001 | 83 | |
| 10 | 1979 | 77 | |
| 11 | 2011 | 70 | |
| 12 | 2011 | 65 | |
| 13 | 2008 | 52 | |
| 14 | 2006 | 44 | |
| 15 | 2006 | 36 | |
| 16 | 2014 | 28 | |
| 17 | 2016 | 25 | |
| 18 | 2005 | 16 | |
| 19 | 2003 | 8 | |
| 20 | 2019 | 8 |
About Greg Finn
Greg Finn is a scholar working on Molecular Biology, Oncology, Immunology, Radiology, Nuclear Medicine and Imaging and Hematology, having authored 26 papers that have together received 2.4k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (13 papers), Peptidase Inhibition and Analysis (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Multiple Myeloma Research and Treatments (4 papers), Glycosylation and Glycoproteins Research (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Cancer-related gene regulation (2 papers) and Fibroblast Growth Factor Research (2 papers). The work is most often cited by research in Immunology (638 citations), Oncology (655 citations), Molecular Biology (1.7k citations), Cell Biology (212 citations) and Cellular and Molecular Neuroscience (204 citations). Greg Finn has collaborated with scholars based in United States, France and United Kingdom. Frequent co-authors include Kun Ping Lu, Linda K. Nicholson, Tae Ho Lee, Gerburg M. Wulf, Xiao Zhen Zhou, Futoshi Suizu, Martin Balaštík, Jormay Lim, Lucia Pastorino and Anyang Sun. Their work appears in journals such as Blood, Nature Cell Biology, Nature Immunology, Developmental Cell and Molecular Cell.
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.