Keir C. Neuman
- Structural Biology top 1%
-
- Force Microscopy Techniques and Applications 9
- Biophysics top 0.5%
- Biomedical Engineering top 0.5%
- Microfluidic and Bio-sensing Technologies 9
- Molecular Biology top 2%
- Cancer therapeutics and mechanisms 31
- DNA and Nucleic Acid Chemistry 27
- DNA Repair Mechanisms 13
- Advanced biosensing and bioanalysis techniques 11
- RNA and protein synthesis mechanisms 9
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- Diamond and Carbon-based Materials Research 10
- Co-authors
- Steven M. BlockAttila NagyYeonee SeolGrace F. LiouKeren BergmanEdmund ChaddRobert LandickKiyoshi Mizuuchi
- Partner nations
- United StatesUnited KingdomHungary
In The Last Decade
Keir C. Neuman
97 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Structural Biology 190
- Atomic and Molecular Physics, and Optics 3.4k
- Biophysics 582
- Biomedical Engineering 2.8k
- Molecular Biology 3.1k
Countries citing papers authored by Keir C. Neuman
This map shows the geographic impact of Keir C. Neuman'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 Keir C. Neuman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keir C. Neuman more than expected).
Fields of papers citing papers by Keir C. Neuman
This network shows the impact of papers produced by Keir C. Neuman. 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 Keir C. Neuman. The network helps show where Keir C. Neuman may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keir C. Neuman, 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 | 2024 | 5 | |
| 2 | 2023 | 2 | |
| 3 | 2023 | 5 | |
| 4 | 2022 | 11 | |
| 5 | 2022 | 6 | |
| 6 | 2020 | 15 | |
| 7 | 2020 | 2 | |
| 8 | 2018 | 32 | |
| 9 | 2017 | 3 | |
| 10 | 2017 | 17 | |
| 11 | 2017 | 79 | |
| 12 | 2016 | 19 | |
| 13 | 2016 | 26 | |
| 14 | 2015 | 10 | |
| 15 | 2014 | 72 | |
| 16 | 2014 | 11 | |
| 17 | 2013 | 28 | |
| 18 | 2011 | 30 | |
| 19 | 2008 | 12 | |
| 20 | Characterization of Photodamage to Escherichia coli in Optical Trapsbreakdown → | 1999 | 501 |
About Keir C. Neuman
Keir C. Neuman is a scholar working on Molecular Biology, Toxicology and Molecular Medicine, having authored 101 papers that have together received 7.7k indexed citations. Recurring topics across this work include Cancer therapeutics and mechanisms (31 papers), DNA and Nucleic Acid Chemistry (27 papers), DNA Repair Mechanisms (13 papers), Advanced biosensing and bioanalysis techniques (11 papers), Diamond and Carbon-based Materials Research (10 papers), Force Microscopy Techniques and Applications (9 papers), RNA and protein synthesis mechanisms (9 papers) and Microfluidic and Bio-sensing Technologies (9 papers). The work is most often cited by research in Structural Biology (190 citations), Atomic and Molecular Physics, and Optics (3.4k citations) and Biophysics (582 citations). Keir C. Neuman has collaborated with scholars based in United States, United Kingdom and Hungary. Frequent co-authors include Steven M. Block, Attila Nagy, Yeonee Seol, Grace F. Liou, Keren Bergman, Edmund Chadd, Robert Landick, Kiyoshi Mizuuchi, Anthony G. Vecchiarelli and Susanta K. Sarkar. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of Sciences.
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.