Ben Gold

1.9k total citations
18 papers, 696 citations indexed

About

Ben Gold is a scholar working on Infectious Diseases, Molecular Biology and Epidemiology. According to data from OpenAlex, Ben Gold has authored 18 papers receiving a total of 696 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Infectious Diseases, 10 papers in Molecular Biology and 10 papers in Epidemiology. Recurrent topics in Ben Gold's work include Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (9 papers) and Cancer therapeutics and mechanisms (4 papers). Ben Gold is often cited by papers focused on Tuberculosis Research and Epidemiology (17 papers), Mycobacterium research and diagnosis (9 papers) and Cancer therapeutics and mechanisms (4 papers). Ben Gold collaborates with scholars based in United States, Qatar and Spain. Ben Gold's co-authors include Carl Nathan, Julia Roberts, Thulasi Warrier, Xiuju Jiang, Ruslana Bryk, David Eliezer, Haiteng Deng, Diana Vargas, Selin Somersan-Karakaya and Kristin Burns-Huang and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Medicinal Chemistry and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Ben Gold

17 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ben Gold United States 13 412 284 269 106 103 18 696
Julia Roberts United States 13 335 0.8× 270 1.0× 236 0.9× 98 0.9× 102 1.0× 20 719
Ana Ribeiro Italy 11 253 0.6× 241 0.8× 152 0.6× 88 0.8× 14 0.1× 15 458
Rodgoun Attarian Canada 10 417 1.0× 172 0.6× 477 1.8× 22 0.2× 27 0.3× 11 664
Bienyameen Baker South Africa 18 252 0.6× 314 1.1× 179 0.7× 66 0.6× 12 0.1× 34 766
Bridgette M. Cumming South Africa 12 416 1.0× 411 1.4× 306 1.1× 18 0.2× 24 0.2× 18 803
Adam Heikal New Zealand 12 203 0.5× 354 1.2× 121 0.4× 50 0.5× 25 0.2× 22 578
Jean Engohang‐Ndong United States 11 374 0.9× 379 1.3× 236 0.9× 59 0.6× 7 0.1× 19 717
Alex G. Dalecki United States 10 118 0.3× 138 0.5× 49 0.2× 78 0.7× 59 0.6× 15 401
John P. Lisher United States 10 140 0.3× 198 0.7× 146 0.5× 12 0.1× 275 2.7× 10 659
Sarah A. Gilmore United States 10 334 0.8× 307 1.1× 287 1.1× 55 0.5× 12 0.1× 12 617

Countries citing papers authored by Ben Gold

Since Specialization
Citations

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

Fields of papers citing papers by Ben Gold

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ben Gold

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

All Works

18 of 18 papers shown
1.
Li, Kelin, Jackson G. Cacioppo, Andrew J. Perkowski, et al.. (2023). Mycobacterium tuberculosis PptT Inhibitors Based on Heterocyclic Replacements of Amidinoureas. ACS Medicinal Chemistry Letters. 14(7). 970–976. 4 indexed citations
2.
Saito, Kohta, Saurabh Mishra, Thulasi Warrier, et al.. (2021). Oxidative damage and delayed replication allow viable Mycobacterium tuberculosis to go undetected. Science Translational Medicine. 13(621). eabg2612–eabg2612. 18 indexed citations
3.
Gold, Ben, Thulasi Warrier, & Carl Nathan. (2021). A Multistress Model for High Throughput Screening Against Nonreplicating Mycobacterium tuberculosis. Methods in molecular biology. 2314. 611–635. 7 indexed citations
4.
Singh, A.D., Guangli Yang, Xiuju Jiang, et al.. (2021). Characterization of Phosphopantetheinyl Hydrolase from Mycobacterium tuberculosis. Microbiology Spectrum. 9(2). e0092821–e0092821.
5.
6.
Somersan-Karakaya, Selin, Kohta Saito, Julia Roberts, et al.. (2019). Synthesis and Antibacterial Evaluation of Cephalosporin Isosteres. Asian Journal of Organic Chemistry. 8(7). 1053–1057. 3 indexed citations
7.
Early, Julie V., Juliane Ollinger, Crystal M. Darby, et al.. (2018). Identification of Compounds with pH-Dependent Bactericidal Activity against Mycobacterium tuberculosis. ACS Infectious Diseases. 5(2). 272–280. 25 indexed citations
8.
Lupoli, Tania J., Julien Vaubourgeix, Kristin Burns-Huang, & Ben Gold. (2018). Targeting the Proteostasis Network for Mycobacterial Drug Discovery. ACS Infectious Diseases. 4(4). 478–498. 55 indexed citations
9.
Gold, Ben & Carl Nathan. (2017). Targeting Phenotypically Tolerant Mycobacterium tuberculosis. Microbiology Spectrum. 5(1). 87 indexed citations
10.
Saito, Kohta, Thulasi Warrier, Selin Somersan-Karakaya, et al.. (2017). Rifamycin action on RNA polymerase in antibiotic-tolerant Mycobacterium tuberculosis results in differentially detectable populations. Proceedings of the National Academy of Sciences. 114(24). E4832–E4840. 65 indexed citations
11.
Gold, Ben, Julia Roberts, Yan Ling, et al.. (2016). Visualization of the Charcoal Agar Resazurin Assay for Semi-quantitative, Medium-throughput Enumeration of Mycobacteria. Journal of Visualized Experiments. 6 indexed citations
12.
Gold, Ben, Thulasi Warrier, & Carl Nathan. (2015). A Multi-stress Model for High Throughput Screening Against Non-replicating Mycobacterium tuberculosis. Methods in molecular biology. 1285. 293–315. 43 indexed citations
13.
Gold, Ben, Julia Roberts, Yan Ling, et al.. (2015). Rapid, Semiquantitative Assay To Discriminate among Compounds with Activity against Replicating or Nonreplicating Mycobacterium tuberculosis. Antimicrobial Agents and Chemotherapy. 59(10). 6521–6538. 31 indexed citations
14.
Warrier, Thulasi, María Martínez-Hoyos, Gonzalo Colmenarejo, et al.. (2015). Identification of Novel Anti-mycobacterial Compounds by Screening a Pharmaceutical Small-Molecule Library against Nonreplicating Mycobacterium tuberculosis. ACS Infectious Diseases. 1(12). 580–585. 24 indexed citations
15.
Somersan-Karakaya, Selin, Xiaoyong Guo, Ben Gold, et al.. (2014). Benzimidazole-based compounds kill Mycobacterium tuberculosis. European Journal of Medicinal Chemistry. 75. 336–353. 46 indexed citations
16.
Somersan-Karakaya, Selin, Shi‐Chao Lu, Julia Roberts, et al.. (2014). Synthetic Calanolides with Bactericidal Activity against Replicating and Nonreplicating Mycobacterium tuberculosis. Journal of Medicinal Chemistry. 57(9). 3755–3772. 62 indexed citations
17.
Nathan, Carl, Ben Gold, Gang Lin, et al.. (2008). A philosophy of anti-infectives as a guide in the search for new drugs for tuberculosis. Tuberculosis. 88. S25–S33. 46 indexed citations
18.
Gold, Ben, Haiteng Deng, Ruslana Bryk, et al.. (2008). Identification of a copper-binding metallothionein in pathogenic mycobacteria. Nature Chemical Biology. 4(10). 609–616. 162 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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