Daniel Finley
- Cell Biology top 0.1%
- Endoplasmic Reticulum Stress and Disease 45
- Molecular Biology top 0.2%
- Ubiquitin and proteasome pathways 69
- Glycosylation and Glycoproteins Research 10
- Fungal and yeast genetics research 10
- Oncology top 0.5%
- Peptidase Inhibition and Analysis 15
- Cancer-related Molecular Pathways 5
- Aging top 2%
- Epidemiology top 0.5%
- Autophagy in Disease and Therapy 23
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- Genetics and Neurodevelopmental Disorders 9
- Co-authors
- Steven P. GygiEngin ÖzkaynakAlexander VarshavskyJunmin PengDongmei ChengMichael H. GlickmanDavid M. RubinRandall W. King
- Journals
- Journal of Biological Chemistry (11 papers)Proceedings of the National Academy of Sciences (6 papers)Cell (5 papers)
- Partner nations
- United StatesChinaUnited Kingdom
In The Last Decade
Daniel Finley
83 papers receiving 12.0k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Cell Biology 4.0k
- Molecular Biology 11.2k
- Oncology 2.8k
- Aging 157
- Epidemiology 3.0k
Countries citing papers authored by Daniel Finley
This map shows the geographic impact of Daniel Finley'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 Daniel Finley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Finley more than expected).
Fields of papers citing papers by Daniel Finley
This network shows the impact of papers produced by Daniel Finley. 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 Daniel Finley. The network helps show where Daniel Finley may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Finley, 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 | 2025 | 10 | |
| 2 | 2022 | 58 | |
| 3 | 2021 | 26 | |
| 4 | 2020 | 26 | |
| 5 | 2020 | 13 | |
| 6 | 2019 | 10 | |
| 7 | 2017 | 118 | |
| 8 | 2017 | 39 | |
| 9 | 2015 | 158 | |
| 10 | 2011 | 59 | |
| 11 | 2010 | 200 | |
| 12 | Comprehensive histologic assessment helps to differentiate multiple lung primary nonsmall cell carcinomas from metastases | 2009 | 7 |
| 13 | 2006 | 4 | |
| 14 | 2003 | 42 | |
| 15 | 2003 | 134 | |
| 16 | A proteomics approach to understanding protein ubiquitinationbreakdown → | 2003 | 1302 |
| 17 | 2002 | 70 | |
| 18 | 1998 | 157 | |
| 19 | 1997 | 132 | |
| 20 | 1995 | 131 |
About Daniel Finley
Daniel Finley is a scholar working on Cell Biology, Molecular Biology and Oncology, having authored 83 papers that have together received 12.1k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (69 papers), Endoplasmic Reticulum Stress and Disease (45 papers), Autophagy in Disease and Therapy (23 papers), Peptidase Inhibition and Analysis (15 papers), Glycosylation and Glycoproteins Research (10 papers), Fungal and yeast genetics research (10 papers), Genetics and Neurodevelopmental Disorders (9 papers) and Cancer-related Molecular Pathways (5 papers). The work is most often cited by research in Cell Biology (4.0k citations), Molecular Biology (11.2k citations) and Oncology (2.8k citations). Daniel Finley has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Steven P. Gygi, Engin Özkaynak, Alexander Varshavsky, Junmin Peng, Dongmei Cheng, Michael H. Glickman, David M. Rubin, Randall W. King, Jeroen Roelofs and David Leggett. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Cell, Nature Cell Biology and Current Biology.
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.