John L. Kulp
Impact in
- Biomaterials top 5%
- Diatoms and Algae Research
- Supramolecular Self-Assembly in Materials
- Hepatology top 5%
- Hepatitis C virus research
Papers in
-
- Chemical Synthesis and Analysis 7
- Protein Structure and Dynamics 6
- Epidemiology 15
- Hepatitis B Virus Studies 9
- Co-authors
- John Spencer Evans (5 shared papers)Paramjit S. Arora (2 shared papers)Deyun Wang (1 shared paper)Kang Chen (1 shared paper)Daniel E. Barlow (2 shared papers)Kathryn J. Wahl (2 shared papers)Daniel Rittschof (1 shared paper)Beatriz Orihuela (1 shared paper)
- Journals
- Antiviral Research (6 papers)Langmuir (4 papers)Journal of Virology (2 papers)Journal of the American Chemical Society (2 papers)ACS Infectious Diseases (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
John L. Kulp
41 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 107
- Biomaterials 318
- Hepatology 118
- Surfaces, Coatings and Films 109
- Virology 49
- Infectious Diseases 161
Countries citing papers authored by John L. Kulp
This map shows the geographic impact of John L. Kulp'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 L. Kulp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John L. Kulp more than expected).
Fields of papers citing papers by John L. Kulp
This network shows the impact of papers produced by John L. Kulp. 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 L. Kulp. The network helps show where John L. Kulp may publish in the future.
Co-authors
The 25 scholars most cited alongside John L. Kulp, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 179 | |
| 2 | 2006 | 130 | |
| 3 | 2004 | 110 | |
| 4 | 2009 | 83 | |
| 5 | 2017 | 62 | |
| 6 | 2019 | 55 | |
| 7 | 2016 | 44 | |
| 8 | 2017 | 43 | |
| 9 | 2018 | 42 | |
| 10 | 2004 | 38 | |
| 11 | 2011 | 33 | |
| 12 | 2008 | 29 | |
| 13 | 2014 | 25 | |
| 14 | 2018 | 24 | |
| 15 | 2022 | 20 | |
| 16 | 2005 | 20 | |
| 17 | 2021 | 19 | |
| 18 | 2012 | 18 | |
| 19 | 2015 | 17 | |
| 20 | 2018 | 16 |
About John L. Kulp
John L. Kulp is a scholar working on Molecular Biology, Epidemiology, Biomaterials, Hepatology and Ecology, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (9 papers), Hepatitis C virus research (9 papers), Chemical Synthesis and Analysis (7 papers), Bacteriophages and microbial interactions (7 papers), Protein Structure and Dynamics (6 papers), Diatoms and Algae Research (6 papers), Enzyme Structure and Function (4 papers) and Supramolecular Self-Assembly in Materials (4 papers). The work is most often cited by research in Biomaterials (318 citations), Hepatology (118 citations), Surfaces, Coatings and Films (109 citations), Virology (49 citations) and Infectious Diseases (161 citations). John L. Kulp has collaborated with scholars based in United States, China and Japan. Frequent co-authors include John Spencer Evans, Paramjit S. Arora, Deyun Wang, Kang Chen, Daniel E. Barlow, Kathryn J. Wahl, Daniel Rittschof, Beatriz Orihuela, Gary H. Dickinson and Mehmet Sarıkaya. Their work appears in journals such as Antiviral Research, Langmuir, Journal of Virology, Journal of the American Chemical Society and ACS Infectious Diseases.
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.