James E. Posey

4.9k total citations
58 papers, 2.9k citations indexed

About

James E. Posey is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, James E. Posey has authored 58 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Infectious Diseases, 31 papers in Epidemiology and 21 papers in Molecular Biology. Recurrent topics in James E. Posey's work include Tuberculosis Research and Epidemiology (44 papers), Mycobacterium research and diagnosis (27 papers) and Cancer therapeutics and mechanisms (11 papers). James E. Posey is often cited by papers focused on Tuberculosis Research and Epidemiology (44 papers), Mycobacterium research and diagnosis (27 papers) and Cancer therapeutics and mechanisms (11 papers). James E. Posey collaborates with scholars based in United States, South Africa and United Kingdom. James E. Posey's co-authors include Frank C. Gherardini, Thomas M. Shinnick, Beverly Metchock, Melisa J. Willby, Bonnie B. Plikaytis, Patricia Campbell, Oleg V. Tsodikov, Suraj B. Sable, Seidu Malik and Angela M. Starks and has published in prestigious journals such as Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

In The Last Decade

James E. Posey

57 papers receiving 2.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James E. Posey United States 28 1.8k 1.3k 968 385 361 58 2.9k
Adel M. Talaat United States 29 1.5k 0.8× 1.7k 1.3× 1.0k 1.1× 254 0.7× 140 0.4× 72 3.2k
Sylvie Alonso Singapore 39 2.7k 1.5× 1.6k 1.3× 1.7k 1.8× 279 0.7× 271 0.8× 110 5.2k
Claudia Sala Switzerland 27 1.4k 0.8× 934 0.7× 1.0k 1.1× 159 0.4× 313 0.9× 80 2.2k
Peter Warn United Kingdom 38 2.0k 1.1× 1.5k 1.2× 745 0.8× 69 0.2× 255 0.7× 74 5.3k
Zahra Hasan Pakistan 30 2.1k 1.2× 1.5k 1.1× 550 0.6× 656 1.7× 318 0.9× 117 3.1k
Siouxsie Wiles New Zealand 29 1.1k 0.6× 492 0.4× 1.2k 1.2× 172 0.4× 224 0.6× 82 3.0k
Narisara Chantratita Thailand 38 947 0.5× 2.9k 2.2× 1.1k 1.2× 100 0.3× 464 1.3× 160 5.0k
Ken Laing United Kingdom 25 891 0.5× 729 0.6× 831 0.9× 199 0.5× 122 0.3× 57 2.9k
Kévin Pethe Singapore 40 2.9k 1.6× 2.3k 1.8× 2.4k 2.5× 520 1.4× 641 1.8× 93 5.4k
Adrian M. Zelazny United States 37 1.9k 1.1× 2.4k 1.8× 1.1k 1.1× 248 0.6× 600 1.7× 115 4.6k

Countries citing papers authored by James E. Posey

Since Specialization
Citations

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

Fields of papers citing papers by James E. Posey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James E. Posey. 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 James E. Posey. The network helps show where James E. Posey may publish in the future.

Co-authorship network of co-authors of James E. Posey

This figure shows the co-authorship network connecting the top 25 collaborators of James E. Posey. A scholar is included among the top collaborators of James E. Posey 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 James E. Posey. James E. Posey 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.
Springer, Yuri P., K. David Newell, Martin Jones, et al.. (2024). Characterizing the Etiology of Recurrent Tuberculosis Using Whole Genome Sequencing: Alaska, 2008–2020. The Journal of Infectious Diseases. 231(1). 94–102. 2 indexed citations
2.
Carter, Joshua, A Sarah Walker, Michael G. Whitfield, et al.. (2024). Prediction of pyrazinamide resistance in Mycobacterium tuberculosis using structure-based machine-learning approaches. JAC-Antimicrobial Resistance. 6(2). dlae037–dlae037. 5 indexed citations
3.
Nelson, Kristin N., Sarah Talarico, Clinton J. McDaniel, et al.. (2022). Mutation of Mycobacterium tuberculosis and Implications for Using Whole-Genome Sequencing for Investigating Recent Tuberculosis Transmission. Frontiers in Public Health. 9. 790544–790544. 10 indexed citations
4.
Savić, Radojka M., Martin J. Boeree, Charles A. Peloquin, et al.. (2021). Optimising pyrazinamide for the treatment of tuberculosis. European Respiratory Journal. 58(1). 2002013–2002013. 23 indexed citations
5.
Winglee, Kathryn, Clinton J. McDaniel, Steve Kammerer, et al.. (2021). Logically Inferred Tuberculosis Transmission (LITT): A Data Integration Algorithm to Rank Potential Source Cases. Frontiers in Public Health. 9. 667337–667337. 3 indexed citations
6.
Willby, Melisa J., Darrin Lemmer, Katherine A. Klein, et al.. (2020). Molecular Evaluation of Fluoroquinolone Resistance in Serial Mycobacterium tuberculosis Isolates from Individuals Diagnosed with Multidrug-Resistant Tuberculosis. Antimicrobial Agents and Chemotherapy. 65(1). 1 indexed citations
7.
Klopper, Marisa, Tim H. Heupink, Grant Hill-Cawthorne, et al.. (2020). A landscape of genomic alterations at the root of a near-untreatable tuberculosis epidemic. BMC Medicine. 18(1). 24–24. 21 indexed citations
8.
Click, Eleanor S., Wilfred Murithi, Kimberly D. McCarthy, et al.. (2018). Detection of Apparent Cell-free M. tuberculosis DNA from Plasma. Scientific Reports. 8(1). 645–645. 21 indexed citations
9.
Dalton, Tracy, Matthew Ezewudo, Lauren S. Cowan, et al.. (2018). Validation of Novel Mycobacterium tuberculosis Isoniazid Resistance Mutations Not Detectable by Common Molecular Tests. Antimicrobial Agents and Chemotherapy. 62(10). 28 indexed citations
10.
Farhat, Maha, Răzvan Sultana, Oleg Iartchouk, et al.. (2016). Genetic Determinants of Drug Resistance in Mycobacterium tuberculosis and Their Diagnostic Value. American Journal of Respiratory and Critical Care Medicine. 194(5). 621–630. 101 indexed citations
11.
Nandakumar, Subhadra, Sunil Kannanganat, Karen M. Dobos, et al.. (2016). Boosting BCG-primed responses with a subunit Apa vaccine during the waning phase improves immunity and imparts protection against Mycobacterium tuberculosis. Scientific Reports. 6(1). 25837–25837. 17 indexed citations
12.
Salamon, Hugh, Ken Yamaguchi, Daniela María Cirillo, et al.. (2015). Integration of Published Information Into a Resistance-Associated Mutation Database for Mycobacterium tuberculosis. The Journal of Infectious Diseases. 211(suppl_2). S50–S57. 26 indexed citations
13.
Nandakumar, Subhadra, Sunil Kannanganat, James E. Posey, Rama Rao Amara, & Suraj B. Sable. (2014). Attrition of T-Cell Functions and Simultaneous Upregulation of Inhibitory Markers Correspond with the Waning of BCG-Induced Protection against Tuberculosis in Mice. PLoS ONE. 9(11). e113951–e113951. 33 indexed citations
14.
Reeves, Analise Z., Patricia Campbell, Melisa J. Willby, & James E. Posey. (2014). Disparities in Capreomycin Resistance Levels Associated with the rrs A1401G Mutation in Clinical Isolates of Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 59(1). 444–449. 22 indexed citations
15.
Willby, Melisa J., Keith Green, Micha Fridman, et al.. (2014). Antimycobacterial activity of DNA intercalator inhibitors of Mycobacterium tuberculosis primase DnaG. The Journal of Antibiotics. 68(3). 153–157. 34 indexed citations
16.
Nandakumar, Subhadra, Sunil Kannanganat, Karen M. Dobos, et al.. (2013). O-mannosylation of the Mycobacterium tuberculosis Adhesin Apa Is Crucial for T Cell Antigenicity during Infection but Is Expendable for Protection. PLoS Pathogens. 9(10). e1003705–e1003705. 31 indexed citations
17.
Malik, Seidu, Melisa J. Willby, David Sikes, Oleg V. Tsodikov, & James E. Posey. (2012). New Insights into Fluoroquinolone Resistance in Mycobacterium tuberculosis: Functional Genetic Analysis of gyrA and gyrB Mutations. PLoS ONE. 7(6). e39754–e39754. 131 indexed citations
18.
Hong, Sun Hee, Tan‐Yun Cheng, Emilie Layre, et al.. (2012). Ultralong C100 Mycolic Acids Support the Assignment of Segniliparus as a New Bacterial Genus. PLoS ONE. 7(6). e39017–e39017. 16 indexed citations
19.
Sable, Suraj B., Subhadra Nandakumar, Sunita Sharma, et al.. (2011). Cellular Immune Responses to Nine Mycobacterium tuberculosis Vaccine Candidates following Intranasal Vaccination. PLoS ONE. 6(7). e22718–e22718. 28 indexed citations
20.
Nandakumar, Subhadra, Seong‐O Choi, Jeong Woo Lee, et al.. (2011). Bacillus Calmette-Guérin vaccination using a microneedle patch. Vaccine. 29(14). 2626–2636. 81 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.

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