Daniel Kirshner
Impact in
-
- Computational Drug Discovery Methods
- Transportation top 10%
Papers in
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- Protein Structure and Dynamics 6
-
- Computational Drug Discovery Methods 4
- Co-authors
- Felice C. Lightstone (7 shared papers)Jerome P. Nilmeier (3 shared papers)Sergio Wong (3 shared papers)Edmond Y. Lau (2 shared papers)Timothy S. Carpenter (2 shared papers)Antti Talvitie (1 shared paper)Kimmen Sjölander (2 shared papers)Nandini Krishnamurthy (1 shared paper)
- Journals
- Nucleic Acids Research (2 papers)Journal of Chemical Information and Modeling (2 papers)Journal of Medicinal Chemistry (1 paper)Genome biology (1 paper)Utilities Policy (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel Kirshner
18 papers receiving 527 citations
Peers
Comparison fields: 5 of 107
- Computational Theory and Mathematics 109
- Transportation 29
- Molecular Biology 239
- Control and Systems Engineering 60
- Pharmacology 39
Countries citing papers authored by Daniel Kirshner
This map shows the geographic impact of Daniel Kirshner'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 Kirshner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Kirshner more than expected).
Fields of papers citing papers by Daniel Kirshner
This network shows the impact of papers produced by Daniel Kirshner. 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 Kirshner. The network helps show where Daniel Kirshner may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Kirshner, 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 | 2014 | 231 | |
| 2 | 1990 | 68 | |
| 3 | 2006 | 43 | |
| 4 | 1978 | 37 | |
| 5 | 1984 | 30 | |
| 6 | 2013 | 26 | |
| 7 | 1984 | 23 | |
| 8 | 2007 | 22 | |
| 9 | 2013 | 20 | |
| 10 | 2009 | 16 | |
| 11 | 1980 | 11 | |
| 12 | 2022 | 7 | |
| 13 | 1999 | 6 | |
| 14 | 2023 | 5 | |
| 15 | 2023 | 5 | |
| 16 | 2001 | 3 | |
| 17 | 2022 | 3 | |
| 18 | 1979 | 2 | |
| 19 | 2025 | 0 |
About Daniel Kirshner
Daniel Kirshner is a scholar working on Molecular Biology, Computational Theory and Mathematics, Electrical and Electronic Engineering, Spectroscopy and Materials Chemistry, having authored 19 papers that have together received 558 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (4 papers), Enzyme Structure and Function (3 papers), Power Quality and Harmonics (3 papers), Smart Grid Energy Management (3 papers), Energy Load and Power Forecasting (2 papers), Transportation Planning and Optimization (2 papers) and Energy Efficiency and Management (2 papers). The work is most often cited by research in Computational Theory and Mathematics (109 citations), Transportation (29 citations), Molecular Biology (239 citations), Control and Systems Engineering (60 citations) and Pharmacology (39 citations). Daniel Kirshner has collaborated with scholars based in United States. Frequent co-authors include Felice C. Lightstone, Jerome P. Nilmeier, Sergio Wong, Edmond Y. Lau, Timothy S. Carpenter, Antti Talvitie, Kimmen Sjölander, Nandini Krishnamurthy, Jacob Glanville and N. Krishnamurthy. Their work appears in journals such as Nucleic Acids Research, Journal of Chemical Information and Modeling, Journal of Medicinal Chemistry, Genome biology and Utilities Policy.
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.