Nancy Connell

7.2k total citations · 2 hit papers
87 papers, 4.9k citations indexed

About

Nancy Connell is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Nancy Connell has authored 87 papers receiving a total of 4.9k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 34 papers in Infectious Diseases and 23 papers in Epidemiology. Recurrent topics in Nancy Connell's work include Tuberculosis Research and Epidemiology (22 papers), Bacillus and Francisella bacterial research (15 papers) and Mycobacterium research and diagnosis (12 papers). Nancy Connell is often cited by papers focused on Tuberculosis Research and Epidemiology (22 papers), Bacillus and Francisella bacterial research (15 papers) and Mycobacterium research and diagnosis (12 papers). Nancy Connell collaborates with scholars based in United States, United Kingdom and Poland. Nancy Connell's co-authors include David Alland, Michele Burday, Soumitesh Chakravorty, James G. Rheinwald, Barry N. Kreiswirth, Srinand Sreevatsan, James M. Musser, Thomas S. Whittam, Kathryn E. Stockbauer and Xi Pan and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Nancy Connell

85 papers receiving 4.7k citations

Hit Papers

A detailed analysis of 16S ribosomal RNA gene segments fo... 1997 2026 2006 2016 2007 1997 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Nancy Connell United States 34 2.0k 1.8k 1.6k 661 615 87 4.9k
Jeffrey D. Cirillo United States 36 2.1k 1.0× 1.7k 0.9× 1.5k 0.9× 298 0.5× 366 0.6× 131 5.2k
Yasuhiko Suzuki Japan 40 2.0k 1.0× 2.1k 1.2× 1.9k 1.2× 610 0.9× 437 0.7× 316 6.7k
L. Garry Adams United States 41 2.3k 1.1× 1.7k 0.9× 1.4k 0.9× 278 0.4× 562 0.9× 186 7.0k
Abigail L. Manson United States 34 3.1k 1.5× 1.2k 0.7× 825 0.5× 342 0.5× 715 1.2× 62 5.3k
Dirk Bumann Switzerland 44 2.7k 1.3× 995 0.6× 1.2k 0.8× 803 1.2× 882 1.4× 107 6.6k
Maria Laura Gennaro United States 46 1.9k 0.9× 3.4k 1.9× 2.6k 1.6× 888 1.3× 576 0.9× 123 5.2k
Paul Warrener United States 29 1.6k 0.8× 1.4k 0.8× 1.3k 0.8× 195 0.3× 391 0.6× 42 4.2k
Qing Zhang China 36 3.0k 1.5× 1.3k 0.7× 2.0k 1.3× 523 0.8× 517 0.8× 178 8.3k
Philip D. Butcher United Kingdom 40 2.4k 1.2× 4.2k 2.3× 3.5k 2.2× 911 1.4× 600 1.0× 130 6.6k
Kévin Pethe Singapore 40 2.4k 1.2× 2.9k 1.6× 2.3k 1.5× 520 0.8× 305 0.5× 93 5.4k

Countries citing papers authored by Nancy Connell

Since Specialization
Citations

This map shows the geographic impact of Nancy Connell'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 Nancy Connell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nancy Connell more than expected).

Fields of papers citing papers by Nancy Connell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nancy Connell. 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 Nancy Connell. The network helps show where Nancy Connell may publish in the future.

Co-authorship network of co-authors of Nancy Connell

This figure shows the co-authorship network connecting the top 25 collaborators of Nancy Connell. A scholar is included among the top collaborators of Nancy Connell based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nancy Connell. Nancy Connell is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Shearer, Matthew, et al.. (2022). BWC assurance: increasing certainty in BWC compliance. The Nonproliferation Review. 29(1-3). 47–75. 2 indexed citations
2.
West, Rachel Marceau, et al.. (2021). Antibody (Serology) Tests for COVID-19: a Case Study. mSphere. 6(3). 13 indexed citations
3.
Cole, Jennifer, et al.. (2021). Biosafety Professionals: A Role in the Pandemic Response Team. Health Security. 19(4). 454–458. 3 indexed citations
4.
West, Rachel Marceau, et al.. (2020). COVID-19 Antibody Tests: A Valuable Public Health Tool with Limited Relevance to Individuals. Trends in Microbiology. 29(3). 214–223. 52 indexed citations
5.
Halperin, William, Michel Ibrahim, & Nancy Connell. (2020). Geoffrey Rose's Strategy of Prevention Applied to COVID-19. Health Security. 18(6). 502–504. 1 indexed citations
6.
Hosangadi, Divya, Amesh A. Adalja, Anita Cicero, et al.. (2020). Enabling emergency mass vaccination: Innovations in manufacturing and administration during a pandemic. Vaccine. 38(26). 4167–4169. 24 indexed citations
8.
Gupta, Shilpi, Alexander Lemenze, Robert Donnelly, Nancy Connell, & Daniel E. Kadouri. (2018). Keeping it together: absence of genetic variation and DNA incorporation by the predatory bacteria Micavibrio aeruginosavorus and Bdellovibrio bacteriovorus during predation. Research in Microbiology. 169(4-5). 237–243. 4 indexed citations
9.
Connell, Nancy. (2017). The Challenge of Global Catastrophic Biological Risks. Health Security. 15(4). 345–346. 3 indexed citations
10.
Shatzkes, Kenneth, Chi Tang, Eric Singleton, et al.. (2017). Effect of predatory bacteria on the gut bacterial microbiota in rats. Scientific Reports. 7(1). 43483–43483. 50 indexed citations
11.
Shatzkes, Kenneth, Eric Singleton, Chi Tang, et al.. (2017). Examining the efficacy of intravenous administration of predatory bacteria in rats. Scientific Reports. 7(1). 1864–1864. 30 indexed citations
12.
Diller, David, Nancy Connell, & William J. Welsh. (2015). Avalanche for shape and feature-based virtual screening with 3D alignment. Journal of Computer-Aided Molecular Design. 29(11). 1015–1024. 9 indexed citations
13.
Cole, Leonard A., Katherine Wagner, Nancy Connell, et al.. (2014). Terror Medicine as Part of the Medical School Curriculum. Frontiers in Public Health. 2. 138–138. 12 indexed citations
14.
Ekins, Sean, Robert C. Reynolds, Hiyun Kim, et al.. (2013). Bayesian Models Leveraging Bioactivity and Cytotoxicity Information for Drug Discovery. Chemistry & Biology. 20(3). 370–378. 81 indexed citations
15.
Connell, Nancy & Vishwanath Venketaraman. (2009). Control of Mycobacterium tuberculosis Infection by Glutathione. Recent Patents on Anti-Infective Drug Discovery. 4(3). 214–226. 15 indexed citations
16.
Venketaraman, Vishwanath, Ariel Millman, Shobha Swaminathan, et al.. (2007). Glutathione levels and immune responses in tuberculosis patients. Microbial Pathogenesis. 44(3). 255–261. 75 indexed citations
17.
Freeman, Sherry, Frank A. Post, Linda‐Gail Bekker, et al.. (2006). Mycobacterium tuberculosis H37Ra and H37Rv Differential Growth and Cytokine/Chemokine Induction in Murine Macrophages In Vitro. Journal of Interferon & Cytokine Research. 26(1). 27–33. 37 indexed citations
18.
Venketaraman, Vishwanath, Rafael Linares, Nancy Reilly, et al.. (2006). Glutathione and growth inhibition of Mycobacterium tuberculosis in healthy and HIV infected subjects. AIDS Research and Therapy. 3(1). 5–5. 42 indexed citations
19.
Connell, Nancy. (2001). Expression systems for use in actinomycetes and related organisms. Current Opinion in Biotechnology. 12(5). 446–449. 20 indexed citations
20.
Connell, Nancy. (1995). Chapter 6: Mycobacterium: Isolation, Maintenance, Transformation, and Mutant Selection. Methods in cell biology. 45. 107–125. 68 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026