Dan Sindhikara
- Molecular Biology top 10%
- Computational Theory and Mathematics top 2%
- Materials Chemistry
- Atomic and Molecular Physics, and Optics top 10%
- Organic Chemistry
- Co-authors
- Adrián E. RoitbergFumio HirataNorio YoshidaSeonah KimArthur F. VoterYilin MengDaniel J. EmersonKen Borrelli
- Topics
- Protein Structure and Dynamics (12 papers)Computational Drug Discovery Methods (8 papers)Chemical Synthesis and Analysis (6 papers)
- Journals
- The Journal of Chemical PhysicsJournal of Molecular BiologyThe Journal of Physical Chemistry B
- Partner nations
- United StatesJapanGermany
In The Last Decade
Dan Sindhikara
25 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 895
- Computational Theory and Mathematics 241
- Materials Chemistry 206
- Atomic and Molecular Physics, and Optics 182
- Organic Chemistry 147
Countries citing papers authored by Dan Sindhikara
This map shows the geographic impact of Dan Sindhikara'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 Dan Sindhikara with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Sindhikara more than expected).
Fields of papers citing papers by Dan Sindhikara
This network shows the impact of papers produced by Dan Sindhikara. 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 Dan Sindhikara. The network helps show where Dan Sindhikara may publish in the future.
Co-authorship network of co-authors of Dan Sindhikara
This figure shows the co-authorship network connecting the top 25 collaborators of Dan Sindhikara. A scholar is included among the top collaborators of Dan Sindhikara based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Dan Sindhikara. Dan Sindhikara is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 11 | |
| 4 | 10 | |
| 5 | 14 | |
| 6 | 3 | |
| 7 | 22 | |
| 8 | 71 | |
| 9 | 41 | |
| 10 | 33 | |
| 11 | 32 | |
| 12 | 13 | |
| 13 | 58 | |
| 14 | 80 | |
| 15 | 123 | |
| 16 | 1 | |
| 17 | 6 | |
| 18 | 104 | |
| 19 | 13 | |
| 20 | 185 |
About Dan Sindhikara
Dan Sindhikara is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (12 papers), Computational Drug Discovery Methods (8 papers) and Chemical Synthesis and Analysis (6 papers). The work is most often cited by research in Computational Theory and Mathematics (241 citations), Molecular Biology (895 citations) and Spectroscopy (144 citations). Dan Sindhikara has collaborated with scholars based in United States, Japan and Germany. Frequent co-authors include Adrián E. Roitberg, Fumio Hirata, Norio Yoshida, Seonah Kim, Arthur F. Voter, Yilin Meng, Daniel J. Emerson, Ken Borrelli, Danielle M. Schultz and Susan L. Zultanski. Their work appears in journals such as The Journal of Chemical Physics, Journal of Molecular Biology and The Journal of Physical Chemistry B.
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.