John L. Kulp
Impact in
- Biomaterials top 5%
- Diatoms and Algae Research
- Supramolecular Self-Assembly in Materials
- Surfaces, Coatings and Films top 5%
- Polymer Surface Interaction Studies
Papers in ⓘ
-
- Chemical Synthesis and Analysis 7
- Protein Structure and Dynamics 6
- Epidemiology 14
- Hepatitis B Virus Studies 8
- 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)Beatriz Orihuela (1 shared paper)Gary H. Dickinson (1 shared paper)
- Journals
- Antiviral Research (6 papers)Langmuir (4 papers)Journal of the American Chemical Society (2 papers)Bioorganic & Medicinal Chemistry Letters (2 papers)ACS Infectious Diseases (2 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
John L. Kulp
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Biomaterials 296
- Surfaces, Coatings and Films 104
- Hepatology 118
- Virology 43
- Infectious Diseases 163
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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 167 | |
| 2 | 2006 | 127 | |
| 3 | 2004 | 104 | |
| 4 | 2009 | 79 | |
| 5 | 2017 | 61 | |
| 6 | 2019 | 54 | |
| 7 | 2016 | 43 | |
| 8 | 2017 | 42 | |
| 9 | 2018 | 41 | |
| 10 | 2004 | 33 | |
| 11 | 2011 | 31 | |
| 12 | 2008 | 28 | |
| 13 | 2018 | 23 | |
| 14 | 2014 | 23 | |
| 15 | 2022 | 18 | |
| 16 | 2005 | 18 | |
| 17 | 2012 | 17 | |
| 18 | 2021 | 17 | |
| 19 | 2018 | 16 | |
| 20 | 2020 | 15 |
About John L. Kulp
John L. Kulp is a scholar working on Molecular Biology, Epidemiology, Biomaterials, Hepatology and Ecology, having authored 41 papers that have together received 1.1k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (8 papers), Hepatitis C virus research (8 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), Supramolecular Self-Assembly in Materials (4 papers) and Enzyme Structure and Function (4 papers). The work is most often cited by research in Biomaterials (296 citations), Surfaces, Coatings and Films (104 citations), Hepatology (118 citations), Virology (43 citations) and Infectious Diseases (163 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, Beatriz Orihuela, Gary H. Dickinson, Daniel Rittschof and Mehmet Sarıkaya. Their work appears in journals such as Antiviral Research, Langmuir, Journal of the American Chemical Society, Bioorganic & Medicinal Chemistry Letters 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.