Greg Finn
Impact in
- Immunology top 5%
- Toxin Mechanisms and Immunotoxins
- interferon and immune responses
- Immune Response and Inflammation
- Molecular Biology top 5%
- Signaling Pathways in Disease
- Ubiquitin and proteasome pathways
Papers in
-
- Multiple Myeloma Research and Treatments 4
-
- Toxin Mechanisms and Immunotoxins 3
- Galectins and Cancer Biology 2
- Co-authors
- Kun Ping LuLinda K. NicholsonTae Ho LeeGerburg M. WulfXiao Zhen ZhouMartin BalaštíkFutoshi SuizuLucia Pastorino
- Journals
- Nature Cell Biology (2 papers)Nature Immunology (2 papers)Blood (2 papers)Molecular Carcinogenesis (1 paper)Clinical Cancer Research (1 paper)
- Partner nations
- United StatesFranceUnited Kingdom
In The Last Decade
Greg Finn
25 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Immunology 677
- Molecular Biology 1.8k
- Oncology 689
- Cell Biology 233
- Cellular and Molecular Neuroscience 216
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 8 | |
| 2 | 2020 | 7 | |
| 3 | 2019 | 8 | |
| 4 | 2016 | 24 | |
| 5 | 2014 | 28 | |
| 6 | 2012 | 131 | |
| 7 | 2011 | 70 | |
| 8 | 2008 | 51 | |
| 9 | 2008 | 92 | |
| 10 | 2008 | 94 | |
| 11 | 2008 | 3 | |
| 12 | Prolyl cis-trans isomerization as a molecular timer Hit paper breakdown → | 2007 | 519 |
| 13 | 2006 | 37 | |
| 14 | 2006 | 410 | |
| 15 | 2006 | 260 | |
| 16 | 2005 | 113 | |
| 17 | 2005 | 194 | |
| 18 | 2005 | 17 | |
| 19 | 2003 | 8 | |
| 20 | 2001 | 83 |
About Greg Finn
Greg Finn is a scholar working on Hematology, Immunology, Molecular Biology, Oncology and Cell Biology, having authored 25 papers that have together received 2.3k indexed citations. Recurring topics across this work include Signaling Pathways in Disease (13 papers), Peptidase Inhibition and Analysis (6 papers), Multiple Myeloma Research and Treatments (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Toxin Mechanisms and Immunotoxins (3 papers), Galectins and Cancer Biology (2 papers) and Cancer Mechanisms and Therapy (2 papers). The work is most often cited by research in Immunology (677 citations), Molecular Biology (1.8k citations), Oncology (689 citations), Cell Biology (233 citations) and Cellular and Molecular Neuroscience (216 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, Martin Balaštík, Futoshi Suizu, Lucia Pastorino, Jormay Lim and Anyang Sun. Their work appears in journals such as Nature Cell Biology, Nature Immunology, Blood, Molecular Carcinogenesis and Clinical Cancer Research.
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.