Joel S. Freundlich

5.3k total citations
92 papers, 3.4k citations indexed

About

Joel S. Freundlich is a scholar working on Infectious Diseases, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Joel S. Freundlich has authored 92 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 52 papers in Infectious Diseases, 45 papers in Molecular Biology and 28 papers in Computational Theory and Mathematics. Recurrent topics in Joel S. Freundlich's work include Tuberculosis Research and Epidemiology (43 papers), Computational Drug Discovery Methods (28 papers) and Mycobacterium research and diagnosis (16 papers). Joel S. Freundlich is often cited by papers focused on Tuberculosis Research and Epidemiology (43 papers), Computational Drug Discovery Methods (28 papers) and Mycobacterium research and diagnosis (16 papers). Joel S. Freundlich collaborates with scholars based in United States, France and United Kingdom. Joel S. Freundlich's co-authors include Sean Ekins, James C. Sacchettini, Richard R. Schrock, Eric J. Rubin, Robert C. Reynolds, William R. Jacobs, Antony Williams, William M. Davis, Alexander L. Perryman and Matthew D. Krasowski and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Joel S. Freundlich

87 papers receiving 3.3k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joel S. Freundlich United States	33	1.6k	1.3k	899	848	633	92	3.4k
Sajjad Ahmad Pakistan	34	2.4k 1.5×	758 0.6×	746 0.8×	734 0.9×	508 0.8×	228	4.4k
Maria Letizia Barreca Italy	35	1.3k 0.8×	1.2k 0.9×	335 0.4×	1.6k 1.9×	300 0.5×	113	3.5k
Luiz Augusto Basso Brazil	37	2.7k 1.7×	1.5k 1.2×	609 0.7×	667 0.8×	942 1.5×	221	4.2k
Roberto Di Santo Italy	36	1.4k 0.9×	1.1k 0.9×	292 0.3×	1.8k 2.1×	366 0.6×	162	3.9k
Baojie Wan United States	34	1.4k 0.9×	1.0k 0.8×	261 0.3×	2.1k 2.5×	535 0.8×	86	3.3k
Anders Karlén Sweden	35	2.2k 1.4×	481 0.4×	740 0.8×	1.1k 1.3×	170 0.3×	124	4.3k
Oriana Tabarrini Italy	35	1.4k 0.9×	800 0.6×	189 0.2×	1.5k 1.7×	601 0.9×	131	3.4k
Nagasuma Chandra India	35	3.0k 1.9×	1.1k 0.8×	623 0.7×	348 0.4×	635 1.0×	181	4.2k
Diógenes Santiago Santos Brazil	36	2.8k 1.8×	1.3k 1.0×	527 0.6×	449 0.5×	807 1.3×	191	4.4k

Countries citing papers authored by Joel S. Freundlich

Since Specialization

Citations

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

Fields of papers citing papers by Joel S. Freundlich

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joel S. Freundlich. 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 Joel S. Freundlich. The network helps show where Joel S. Freundlich may publish in the future.

Co-authorship network of co-authors of Joel S. Freundlich

This figure shows the co-authorship network connecting the top 25 collaborators of Joel S. Freundlich. A scholar is included among the top collaborators of Joel S. Freundlich 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 Joel S. Freundlich. Joel S. Freundlich is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Kronenberg, Amy, Elizabeth W. Tucker, Joel S. Freundlich, et al.. (2025). Dynamic 11C– Para –Aminobenzoic Acid Positron Emission Tomography/Computed Tomography for Visualizing Pulmonary Mycobacteroides abscessus Infections. American Journal of Respiratory and Critical Care Medicine. 211(7). 1253–1263.

Chordia, Mahendra D., Mitchell D. Wong, Laura Poliseno, et al.. (2025). The Mycomembrane Differentially and Heterogeneously Restricts Antibiotic Permeation. ACS Infectious Diseases. 11(7). 1893–1906.

Soni, Heena, Sandeep Tyagi, Firat Kaya, et al.. (2025). The KasA inhibitor JSF-3285 improves the sterilizing activity of bedaquiline-pretomanid-containing regimens in a mouse model of tuberculosis. Antimicrobial Agents and Chemotherapy. 69(6). e0013025–e0013025.

Shah, Maunank, Elizabeth W. Tucker, Laurence Carroll, et al.. (2024). Dynamic PET reveals compartmentalized brain and lung tissue antibiotic exposures of tuberculosis drugs. Nature Communications. 15(1). 6657–6657. 8 indexed citations

Tucker, Elizabeth W., Camilo A. Ruiz-Bedoya, Filipa Mota, et al.. (2023). Linezolid does not improve bactericidal activity of rifampin-containing first-line regimens in animal models of TB meningitis. International Journal of Antimicrobial Agents. 63(1). 107048–107048. 6 indexed citations

Park, Steven, Riccardo Russo, Matthew Zimmerman, et al.. (2022). A Novel Oral GyrB/ParE Dual Binding Inhibitor Effective against Multidrug-Resistant Neisseria gonorrhoeae and Other High-Threat Pathogens. Antimicrobial Agents and Chemotherapy. 66(9). e0041422–e0041422. 8 indexed citations

Lan, Tian, Uday S. Ganapathy, Sachin Sharma, et al.. (2022). Redesign of Rifamycin Antibiotics to Overcome ADP‐Ribosylation‐Mediated Resistance. Angewandte Chemie. 134(45). 2 indexed citations

Lan, Tian, Uday S. Ganapathy, Sachin Sharma, et al.. (2022). Redesign of Rifamycin Antibiotics to Overcome ADP‐Ribosylation‐Mediated Resistance. Angewandte Chemie International Edition. 61(45). e202211498–e202211498. 15 indexed citations

Johnson, Calvin M., Jimmy S. Patel, Riccardo Russo, et al.. (2021). Targeting Mycobacterium tuberculosis response to environmental cues for the development of effective antitubercular drugs. PLoS Biology. 19(7). e3001355–e3001355. 13 indexed citations

10.

Gallardo‐Macias, Ricardo, et al.. (2021). Assessment of carbapenems in a mouse model of Mycobacterium tuberculosis infection. PLoS ONE. 16(5). e0249841–e0249841. 2 indexed citations

11.

Pullen, Krista M., Jonah Larkins‐Ford, Xin Wang, et al.. (2020). Morphological profiling of tubercle bacilli identifies drug pathways of action. Proceedings of the National Academy of Sciences. 117(31). 18744–18753. 31 indexed citations

12.

Inoyama, Daigo, Riccardo Russo, Pradeep Kumar, et al.. (2018). Novel Pyrimidines as Antitubercular Agents. Antimicrobial Agents and Chemotherapy. 62(3). 24 indexed citations

13.

Vilchèze, Catherine, Travis Hartman, Brian Weinrick, et al.. (2017). Enhanced respiration prevents drug tolerance and drug resistance in Mycobacterium tuberculosis. Proceedings of the National Academy of Sciences. 114(17). 4495–4500. 135 indexed citations

14.

Ekins, Sean, Alexander L. Perryman, Alex M. Clark, Robert C. Reynolds, & Joel S. Freundlich. (2016). Machine Learning Model Analysis and Data Visualization with Small Molecules Tested in a Mouse Model of Mycobacterium tuberculosis Infection (2014–2015). Journal of Chemical Information and Modeling. 56(7). 1332–1343. 22 indexed citations

15.

Ekins, Sean, Nadia K. Litterman, Renée J.G. Arnold, et al.. (2015). A brief review of recent Charcot-Marie-Tooth research and priorities. F1000Research. 4. 53–53. 30 indexed citations

16.

Nixon, Molly R, Kurt W. Saionz, Mi-Sun Koo, et al.. (2014). Folate Pathway Disruption Leads to Critical Disruption of Methionine Derivatives in Mycobacterium tuberculosis. Chemistry & Biology. 21(7). 819–830. 58 indexed citations

17.

Ekins, Sean, Richard S. Pottorf, Robert C. Reynolds, et al.. (2014). Looking Back to the Future: Predicting in Vivo Efficacy of Small Molecules versus Mycobacterium tuberculosis. Journal of Chemical Information and Modeling. 54(4). 1070–1082. 36 indexed citations

18.

Ekins, Sean, Joel S. Freundlich, Judith V. Hobrath, E. Lucile White, & Robert C. Reynolds. (2013). Combining Computational Methods for Hit to Lead Optimization in Mycobacterium Tuberculosis Drug Discovery. Pharmaceutical Research. 31(2). 414–435. 42 indexed citations

19.

Anderson, John W., Dimitri Sarantakis, Jacek Terpiński, et al.. (2012). Novel diaryl ureas with efficacy in a mouse model of malaria. Bioorganic & Medicinal Chemistry Letters. 23(4). 1022–1025. 21 indexed citations

20.

Ekins, Sean, Joel S. Freundlich, Inhee Choi, Malabika Sarker, & Carolyn Talcott. (2010). Computational databases, pathway and cheminformatics tools for tuberculosis drug discovery. Trends in Microbiology. 19(2). 65–74. 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