John Orban
- Molecular Biology top 5%
- Protein Structure and Dynamics 34
- RNA and protein synthesis mechanisms 19
- Glycosylation and Glycoproteins Research 8
- DNA and Nucleic Acid Chemistry 8
- Materials Chemistry top 5%
- Enzyme Structure and Function 20
- Spectroscopy top 5%
- Condensed Matter Physics top 10%
- Theoretical and Computational Physics 10
- Immunology top 10%
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- Monoclonal and Polyclonal Antibodies Research 9
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- Phase Equilibria and Thermodynamics 9
- Co-authors
- Philip N. BryanPatrick AlexanderYanan HeYihong ChenA. BellemansLisa M. ParsonsRoy A. MariuzzaPragati Agnihotri
- Journals
- Biochemistry (22 papers)Journal of Biological Chemistry (6 papers)Proceedings of the National Academy of Sciences (6 papers)
- Partner nations
- United StatesBelgiumIndia
In The Last Decade
John Orban
92 papers receiving 3.1k citations
Peers
Comparison fields: 5 of 134
- Molecular Biology 2.3k
- Materials Chemistry 1.0k
- Spectroscopy 273
- Condensed Matter Physics 158
- Immunology 286
Countries citing papers authored by John Orban
This map shows the geographic impact of John Orban'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 John Orban with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Orban more than expected).
Fields of papers citing papers by John Orban
This network shows the impact of papers produced by John Orban. 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 John Orban. The network helps show where John Orban may publish in the future.
Co-authorship network
The 25 scholars most cited alongside John Orban, 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 | 3 | |
| 2 | 2023 | 19 | |
| 3 | 2022 | 23 | |
| 4 | 2021 | 10 | |
| 5 | 2020 | 12 | |
| 6 | 2019 | 84 | |
| 7 | 2015 | 19 | |
| 8 | 2015 | 47 | |
| 9 | 2013 | 11 | |
| 10 | 2012 | 80 | |
| 11 | 2011 | 56 | |
| 12 | 2009 | 192 | |
| 13 | 2008 | 86 | |
| 14 | 2007 | 140 | |
| 15 | 2007 | 12 | |
| 16 | 2005 | 7 | |
| 17 | 2002 | 39 | |
| 18 | 1995 | 49 | |
| 19 | 1992 | 140 | |
| 20 | 1992 | 220 |
About John Orban
John Orban is a scholar working on Molecular Biology, Condensed Matter Physics and Spectroscopy, having authored 93 papers that have together received 3.2k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (34 papers), Enzyme Structure and Function (20 papers), RNA and protein synthesis mechanisms (19 papers), Theoretical and Computational Physics (10 papers), Monoclonal and Polyclonal Antibodies Research (9 papers), Phase Equilibria and Thermodynamics (9 papers), Glycosylation and Glycoproteins Research (8 papers) and DNA and Nucleic Acid Chemistry (8 papers). The work is most often cited by research in Molecular Biology (2.3k citations), Materials Chemistry (1.0k citations) and Spectroscopy (273 citations). John Orban has collaborated with scholars based in United States, Belgium and India. Frequent co-authors include Philip N. Bryan, Patrick Alexander, Yanan He, Yihong Chen, A. Bellemans, Lisa M. Parsons, Roy A. Mariuzza, Pragati Agnihotri, Prakash Kulkarni and Stephen R. Fahnestock. Their work appears in journals such as Biochemistry, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and Protein Science.
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.