Sandeep Tyagi

7.3k total citations · 1 hit paper
68 papers, 4.7k citations indexed

About

Sandeep Tyagi is a scholar working on Infectious Diseases, Epidemiology and Molecular Biology. According to data from OpenAlex, Sandeep Tyagi has authored 68 papers receiving a total of 4.7k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Infectious Diseases, 39 papers in Epidemiology and 29 papers in Molecular Biology. Recurrent topics in Sandeep Tyagi's work include Tuberculosis Research and Epidemiology (52 papers), Mycobacterium research and diagnosis (27 papers) and Cancer therapeutics and mechanisms (22 papers). Sandeep Tyagi is often cited by papers focused on Tuberculosis Research and Epidemiology (52 papers), Mycobacterium research and diagnosis (27 papers) and Cancer therapeutics and mechanisms (22 papers). Sandeep Tyagi collaborates with scholars based in United States, India and France. Sandeep Tyagi's co-authors include William R. Bishai, J Grosset, Eric L. Nuermberger, Kathy N. Williams, Saurabh Sharma, Paras Gupta, Deepak V. Almeida, Ian M. Rosenthal, Tetsuyuki Yoshimatsu and Rokeya Tasneen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Sandeep Tyagi

65 papers receiving 4.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The peroxisome proliferator-activated receptor: A family of nuclear receptors role in various diseases

2011 771 citations Sandeep Tyagi et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sandeep Tyagi United States	37	3.2k	2.6k	1.8k	925	478	68	4.7k
Katsumasa Sato Japan	28	897 0.3×	1.1k 0.4×	613 0.4×	553 0.6×	299 0.6×	150	2.5k
Amit Kumar Pandey India	18	1.3k 0.4×	924 0.4×	1.2k 0.7×	303 0.3×	204 0.4×	50	2.5k
Nicholas Murgolo United States	30	567 0.2×	476 0.2×	1.8k 1.0×	1.5k 1.6×	374 0.8×	64	4.3k
Yong Soo Kwon South Korea	34	968 0.3×	1.2k 0.4×	862 0.5×	556 0.6×	58 0.1×	221	4.0k
Weiguo Liu United States	30	1.2k 0.4×	960 0.4×	509 0.3×	112 0.1×	872 1.8×	65	3.4k
Gobardhan Das India	35	1.0k 0.3×	1.2k 0.4×	1.0k 0.6×	367 0.4×	115 0.2×	72	3.9k
Sharmistha Banerjee India	26	702 0.2×	579 0.2×	987 0.6×	159 0.2×	349 0.7×	82	2.2k
Wei Gao China	32	944 0.3×	591 0.2×	1.5k 0.8×	159 0.2×	96 0.2×	172	3.5k
Ashwani Kumar India	25	973 0.3×	901 0.3×	1.0k 0.6×	156 0.2×	253 0.5×	42	2.0k
Matthew W. Frank United States	30	444 0.1×	470 0.2×	1.7k 1.0×	194 0.2×	257 0.5×	63	2.9k

Countries citing papers authored by Sandeep Tyagi

Since Specialization

Citations

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

Fields of papers citing papers by Sandeep Tyagi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandeep Tyagi

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

All Works

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20 of 20 papers shown

Strydom, Natasha, Marjorie Z. Imperial, Qianwen Wang, et al.. (2024). Dose optimization of TBI-223 for enhanced therapeutic benefit compared to linezolid in antituberculosis regimen. Nature Communications. 15(1). 7311–7311. 7 indexed citations

Almeida, Deepak V., Paul J. Converse, Till F. Omansen, et al.. (2020). Telacebec for Ultrashort Treatment of Buruli Ulcer in a Mouse Model. Antimicrobial Agents and Chemotherapy. 64(6). 19 indexed citations

Schmitt, D, Aurélie Ray, Chantal Hoffmann, et al.. (2018). A multi-antigenic MVA vaccine increases efficacy of combination chemotherapy against Mycobacterium tuberculosis. PLoS ONE. 13(5). e0196815–e0196815. 14 indexed citations

Tyagi, Sandeep, Nicole C. Ammerman, Si-Yang Li, et al.. (2015). Clofazimine shortens the duration of the first-line treatment regimen for experimental chemotherapy of tuberculosis. Proceedings of the National Academy of Sciences. 112(3). 869–874. 91 indexed citations

Converse, Paul J., Yalan Xing, Ki Hyun Kim, et al.. (2014). Accelerated Detection of Mycolactone Production and Response to Antibiotic Treatment in a Mouse Model of Mycobacterium ulcerans Disease. PLoS neglected tropical diseases. 8(1). e2618–e2618. 28 indexed citations

Ahmad, Zahoor, et al.. (2013). Contribution of Moxifloxacin or Levofloxacin in Second-Line Regimens with or without Continuation of Pyrazinamide in Murine Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 188(1). 97–102. 37 indexed citations

Tyagi, Sandeep, et al.. (2013). Acceleration of Tuberculosis Treatment by Adjunctive Therapy with Verapamil as an Efflux Inhibitor. American Journal of Respiratory and Critical Care Medicine. 188(5). 600–607. 132 indexed citations

Grosset, J, Sandeep Tyagi, Deepak V. Almeida, et al.. (2013). Assessment of Clofazimine Activity in a Second-Line Regimen for Tuberculosis in Mice. American Journal of Respiratory and Critical Care Medicine. 188(5). 608–612. 92 indexed citations

Andréjak, C., Deepak V. Almeida, Sandeep Tyagi, et al.. (2012). Improving existing tools for Mycobacterium xenopi treatment: assessment of drug combinations and characterization of mouse models of infection and chemotherapy. Journal of Antimicrobial Chemotherapy. 68(3). 659–665. 17 indexed citations

10.

Ahmad, Zahoor, Mostafa Fraig, Michael L. Pinn, et al.. (2011). Effectiveness of tuberculosis chemotherapy correlates with resistance to Mycobacterium tuberculosis infection in animal models. Journal of Antimicrobial Chemotherapy. 66(7). 1560–1566. 19 indexed citations

11.

Olaleye, Omonike A., Tirumalai R. Raghunand, Shridhar Bhat, et al.. (2010). Methionine Aminopeptidases from Mycobacterium tuberculosis as Novel Antimycobacterial Targets. Chemistry & Biology. 17(1). 86–97. 53 indexed citations

12.

Williams, Kathy N., Steven J. Brickner, C. Kendall Stover, et al.. (2009). Addition of PNU-100480 to First-Line Drugs Shortens the Time Needed to Cure Murine Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 180(4). 371–376. 95 indexed citations

13.

Tasneen, Rokeya, Sandeep Tyagi, Kathy N. Williams, J Grosset, & Eric L. Nuermberger. (2008). Enhanced Bactericidal Activity of Rifampin and/or Pyrazinamide When Combined with PA-824 in a Murine Model of Tuberculosis. Antimicrobial Agents and Chemotherapy. 52(10). 3664–3668. 77 indexed citations

14.

Williams, Kathy N., C. Kendall Stover, Tong Zhu, et al.. (2008). Promising Antituberculosis Activity of the Oxazolidinone PNU-100480 Relative to That of Linezolid in a Murine Model. Antimicrobial Agents and Chemotherapy. 53(4). 1314–1319. 160 indexed citations

15.

Almeida, Deepak V., Eric Nuermberger, Sandeep Tyagi, William R. Bishai, & J Grosset. (2007). In Vivo Validation of the Mutant Selection Window Hypothesis with Moxifloxacin in a Murine Model of Tuberculosis. Antimicrobial Agents and Chemotherapy. 51(12). 4261–4266. 31 indexed citations

16.

Rosenthal, Ian M., Kathy N. Williams, Sandeep Tyagi, et al.. (2006). Potent Twice-Weekly Rifapentine-containing Regimens in Murine Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 174(1). 94–101. 66 indexed citations

17.

Rosenthal, Ian M., Kathy N. Williams, Sandeep Tyagi, et al.. (2005). Weekly Moxifloxacin and Rifapentine Is More Active Than the Denver Regimen in Murine Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 172(11). 1457–1462. 42 indexed citations

18.

Nuermberger, Eric, Sandeep Tyagi, Kathy N. Williams, et al.. (2005). Rifapentine, Moxifloxacin, or DNA Vaccine Improves Treatment of Latent Tuberculosis in a Mouse Model. American Journal of Respiratory and Critical Care Medicine. 172(11). 1452–1456. 58 indexed citations

19.

Nuermberger, Eric, Tetsuyuki Yoshimatsu, Sandeep Tyagi, et al.. (2004). Moxifloxacin-containing Regimens of Reduced Duration Produce a Stable Cure in Murine Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 170(10). 1131–1134. 167 indexed citations

20.

Nuermberger, Eric L., Tetsuyuki Yoshimatsu, Sandeep Tyagi, et al.. (2003). Moxifloxacin-containing Regimen Greatly Reduces Time to Culture Conversion in Murine Tuberculosis. American Journal of Respiratory and Critical Care Medicine. 169(3). 421–426. 242 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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