Steven Johnson
Impact in
- Endocrinology top 0.5%
- Escherichia coli research studies
- Vibrio bacteria research studies
- Structural Biology top 2%
Papers in
-
- Photosynthetic Processes and Mechanisms 8
- Immunology 32
- Complement system in diseases 21
- Co-authors
- Susan M. Lea (74 shared papers)Pietro Roversi (23 shared papers)Janet E. Deane (15 shared papers)Deborah P. Delmer (1 shared paper)Yehudit Amor (1 shared paper)Candace H. Haigler (1 shared paper)Joseph J. E. Caesar (15 shared papers)Ariel Blocker (10 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Proceedings of the National Academy of Sciences (7 papers)Nature Microbiology (5 papers)Nature Structural & Molecular Biology (5 papers)Journal of Molecular Biology (4 papers)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
Steven Johnson
106 papers receiving 5.3k citations
Steven Johnson's Hit Papers
Peers
Comparison fields: 5 of 143
- Endocrinology 842
- Structural Biology 111
- Immunology 1.3k
- Microbiology 317
- Genetics 1.3k
Countries citing papers authored by Steven Johnson
This map shows the geographic impact of Steven Johnson'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 Steven Johnson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Steven Johnson more than expected).
Fields of papers citing papers by Steven Johnson
This network shows the impact of papers produced by Steven Johnson. 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 Steven Johnson. The network helps show where Steven Johnson may publish in the future.
Co-authors
The 25 scholars most cited alongside Steven Johnson, 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 107 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A membrane-associated form of sucrose synthase and its potential role in synthesis of cellulose and callose in plants. Hit paper breakdown → | 1995 | 507 |
| 2 | 2001 | 295 | |
| 3 | 2009 | 255 | |
| 4 | 2013 | 229 | |
| 5 | 2008 | 198 | |
| 6 | 2012 | 172 | |
| 7 | 2007 | 157 | |
| 8 | 2020 | 139 | |
| 9 | 2012 | 138 | |
| 10 | 2006 | 137 | |
| 11 | 2018 | 130 | |
| 12 | 2014 | 128 | |
| 13 | 2006 | 124 | |
| 14 | 2008 | 108 | |
| 15 | 2011 | 103 | |
| 16 | 2000 | 98 | |
| 17 | 2009 | 95 | |
| 18 | 2010 | 92 | |
| 19 | 2017 | 88 | |
| 20 | 2016 | 85 |
About Steven Johnson
Steven Johnson is a scholar working on Molecular Biology, Immunology, Genetics, Endocrinology and Epidemiology, having authored 107 papers that have together received 5.4k indexed citations. Recurring topics across this work include Bacterial Genetics and Biotechnology (23 papers), Complement system in diseases (21 papers), Escherichia coli research studies (16 papers), Bacteriophages and microbial interactions (12 papers), Enzyme Structure and Function (9 papers), Bacterial Infections and Vaccines (8 papers), Photosynthetic Processes and Mechanisms (8 papers) and Erythrocyte Function and Pathophysiology (6 papers). The work is most often cited by research in Endocrinology (842 citations), Structural Biology (111 citations), Immunology (1.3k citations), Microbiology (317 citations) and Genetics (1.3k citations). Steven Johnson has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Susan M. Lea, Pietro Roversi, Janet E. Deane, Deborah P. Delmer, Yehudit Amor, Candace H. Haigler, Joseph J. E. Caesar, Ariel Blocker, Justin C. Deme and Patrizia Abrusci. Their work appears in journals such as Journal of Biological Chemistry, Proceedings of the National Academy of Sciences, Nature Microbiology, Nature Structural & Molecular Biology and Journal of Molecular Biology.
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.