Martha S. Head
- Computational Theory and Mathematics top 0.2%
- Computational Drug Discovery Methods 9
- Virology top 5%
- Molecular Medicine top 5%
- Molecular Biology top 5%
- Protein Structure and Dynamics 10
- Chemical Synthesis and Analysis 3
- Organic Chemistry top 5%
- Antimicrobial agents and applications 3
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- Antimicrobial Peptides and Activities 3
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- HIV/AIDS drug development and treatment 3
- SARS-CoV-2 and COVID-19 Research 2
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- Enzyme Structure and Function 3
- Co-authors
- Judith M. LaLondeBrian ClarkeGiovanna TedescoJames M. WoolvenIan D. WallNeysa NevinsSimon F. SemusMika Lindvall
- Journals
- Journal of the American Chemical Society (1 paper)Nature Biotechnology (1 paper)Journal of Molecular Biology (1 paper)
- Partner nations
- United StatesUnited KingdomPoland
In The Last Decade
Martha S. Head
26 papers receiving 2.8k citations
Hit Papers
Peers
Comparison fields: 5 of 134
- Computational Theory and Mathematics 1.2k
- Virology 133
- Molecular Medicine 133
- Molecular Biology 1.8k
- Organic Chemistry 682
Countries citing papers authored by Martha S. Head
This map shows the geographic impact of Martha S. Head'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 Martha S. Head with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martha S. Head more than expected).
Fields of papers citing papers by Martha S. Head
This network shows the impact of papers produced by Martha S. Head. 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 Martha S. Head. The network helps show where Martha S. Head may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Martha S. Head, 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 | 1 | |
| 2 | 2022 | 28 | |
| 3 | 2021 | 38 | |
| 4 | 2020 | 1 | |
| 5 | 2011 | 11 | |
| 6 | 2009 | 65 | |
| 7 | 2009 | 37 | |
| 8 | 2007 | 45 | |
| 9 | 2007 | 297 | |
| 10 | 2005 | 22 | |
| 11 | 2004 | 98 | |
| 12 | 2002 | 84 | |
| 13 | 2002 | 62 | |
| 14 | 2001 | 3 | |
| 15 | 2001 | 161 | |
| 16 | 1999 | 20 | |
| 17 | 1999 | 30 | |
| 18 | 1999 | 60 | |
| 19 | 1998 | 43 | |
| 20 | 1997 | 58 |
About Martha S. Head
Martha S. Head is a scholar working on Computational Theory and Mathematics, Microbiology and Virology, having authored 26 papers that have together received 2.9k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (10 papers), Computational Drug Discovery Methods (9 papers), Chemical Synthesis and Analysis (3 papers), Antimicrobial agents and applications (3 papers), Antimicrobial Peptides and Activities (3 papers), HIV/AIDS drug development and treatment (3 papers), Enzyme Structure and Function (3 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (1.2k citations), Virology (133 citations) and Molecular Medicine (133 citations). Martha S. Head has collaborated with scholars based in United States, United Kingdom and Poland. Frequent co-authors include Judith M. LaLonde, Brian Clarke, Giovanna Tedesco, James M. Woolven, Ian D. Wall, Neysa Nevins, Simon F. Semus, Mika Lindvall, C. Webster Andrews and Gregory L. Warren. Their work appears in journals such as Journal of the American Chemical Society, Nature Biotechnology 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.