Sanjay Kumar Kochar

3.1k total citations
60 papers, 2.0k citations indexed

About

Sanjay Kumar Kochar is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Sanjay Kumar Kochar has authored 60 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Public Health, Environmental and Occupational Health, 13 papers in Infectious Diseases and 12 papers in Molecular Biology. Recurrent topics in Sanjay Kumar Kochar's work include Malaria Research and Control (45 papers), Mosquito-borne diseases and control (28 papers) and Vector-borne infectious diseases (8 papers). Sanjay Kumar Kochar is often cited by papers focused on Malaria Research and Control (45 papers), Mosquito-borne diseases and control (28 papers) and Vector-borne infectious diseases (8 papers). Sanjay Kumar Kochar collaborates with scholars based in India, United Kingdom and United States. Sanjay Kumar Kochar's co-authors include Dhanpat Kumar Kochar, Vishal Saxena, Ashis Das, D K Kochar, Shilpi Garg, Parmendra Sirohi, S. Vijay Kumar, Ashish Das, Sheetal Middha and Abhishek Kochar and has published in prestigious journals such as The Lancet, PLoS ONE and Analytical Chemistry.

In The Last Decade

Sanjay Kumar Kochar

57 papers receiving 1.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sanjay Kumar Kochar India 22 1.6k 365 234 217 212 60 2.0k
Daniel A. Lampah Australia 27 2.1k 1.3× 416 1.1× 253 1.1× 179 0.8× 538 2.5× 40 2.5k
Parnpen Viriyavejakul Thailand 23 1.0k 0.6× 343 0.9× 343 1.5× 197 0.9× 342 1.6× 80 1.7k
Innocent Safeukui France 23 1.2k 0.7× 276 0.8× 310 1.3× 155 0.7× 313 1.5× 36 2.0k
Angela K. Talley United States 14 1.3k 0.8× 179 0.5× 270 1.2× 272 1.3× 140 0.7× 26 1.9k
S Looareesuwan Thailand 30 1.5k 1.0× 229 0.6× 124 0.5× 143 0.7× 374 1.8× 67 1.9k
Takatoshi Kobayakawa Japan 23 903 0.6× 271 0.7× 125 0.5× 158 0.7× 455 2.1× 48 1.7k
Bamenla Q. Goka Ghana 24 1.1k 0.7× 202 0.6× 167 0.7× 221 1.0× 641 3.0× 62 1.8k
Wichai Supanaranond Thailand 26 868 0.5× 266 0.7× 165 0.7× 243 1.1× 164 0.8× 56 1.7k
Yacouba Cissoko Mali 12 832 0.5× 152 0.4× 95 0.4× 186 0.9× 253 1.2× 47 1.2k
Emsri Pongponratn Thailand 20 1.2k 0.7× 263 0.7× 141 0.6× 104 0.5× 439 2.1× 45 1.5k

Countries citing papers authored by Sanjay Kumar Kochar

Since Specialization
Citations

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

Fields of papers citing papers by Sanjay Kumar Kochar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sanjay Kumar Kochar. 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 Sanjay Kumar Kochar. The network helps show where Sanjay Kumar Kochar may publish in the future.

Co-authorship network of co-authors of Sanjay Kumar Kochar

This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Kumar Kochar. A scholar is included among the top collaborators of Sanjay Kumar Kochar 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 Sanjay Kumar Kochar. Sanjay Kumar Kochar 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.
2.
Lambert, Katrina A., Sushil Kumar Kabra, Shally Awasthi, et al.. (2024). Exposure to traffic and greenspace, and associations with respiratory health in urban India. Urban Climate. 58. 102150–102150. 2 indexed citations
3.
Kumar, Vipin, Sandipan Ray, Radha Yadav, et al.. (2020). Multiplexed quantitative proteomics provides mechanistic cues for malaria severity and complexity. Communications Biology. 3(1). 683–683. 19 indexed citations
4.
5.
Awasthi, Gauri, Vipin Kumar, Sandip Kumar Patel, et al.. (2017). A Proteogenomic Analysis of Haptoglobin in Malaria. PROTEOMICS - CLINICAL APPLICATIONS. 12(4). e1700077–e1700077. 6 indexed citations
6.
Aswal, Vinod K., et al.. (2017). Clinicopathological manifestation of Falciparum malaria in Bikaner (Northwest Rajasthan) population and proteomic investigation for identification of potential serum marker proteins. International Journal of Mosquito Research. 4(4). 1–4. 1 indexed citations
7.
Aswal, Vinod K., et al.. (2016). Spectrum of renal dysfunction in malaria. International Journal of Mosquito Research. 3(2). 9–13. 2 indexed citations
8.
Subudhi, Amit Kumar, Sheetal Middha, Jyoti Acharya, et al.. (2016). Design, construction and validation of a Plasmodium vivax microarray for the transcriptome profiling of clinical isolates. Acta Tropica. 164. 438–447. 2 indexed citations
9.
10.
Siqueira, André M., Marcus Lacerda, Belisa M. L. Magalhães, et al.. (2015). Characterization of Plasmodium vivax-associated admissions to reference hospitals in Brazil and India. BMC Medicine. 13(1). 57–57. 52 indexed citations
11.
Subudhi, Amit Kumar, Shilpi Garg, Sheetal Middha, et al.. (2014). Dataset of natural antisense transcripts in P. vivax clinical isolates derived using custom designed strand-specific microarray. Genomics Data. 2. 199–201. 4 indexed citations
12.
Subudhi, Amit Kumar, Shilpi Garg, Sheetal Middha, et al.. (2014). An in vivo transcriptome data set of natural antisense transcripts from Plasmodium falciparum clinical isolates. Genomics Data. 2. 393–395. 3 indexed citations
13.
Llanos‐Cuentas, Alejandro, Marcus Lacerda, Ronnatrai Rueangweerayut, et al.. (2013). Tafenoquine plus chloroquine for the treatment and relapse prevention of Plasmodium vivax malaria (DETECTIVE): a multicentre, double-blind, randomised, phase 2b dose-selection study. The Lancet. 383(9922). 1049–1058. 180 indexed citations
14.
Subudhi, Amit Kumar, Shilpi Garg, Sheetal Middha, et al.. (2013). Revealing natural antisense transcripts from Plasmodium vivax isolates: Evidence of genome regulation in complicated malaria. Infection Genetics and Evolution. 20. 428–443. 11 indexed citations
15.
Tanwar, Gajanand Singh, Abhishek Kochar, Sanjay Kumar Kochar, et al.. (2011). Clinical profiles of 13 children withPlasmodium vivaxcerebral malaria. Annals of Tropical Paediatrics. 31(4). 351–356. 44 indexed citations
16.
Acharya, Pragyan, Rani Pallavi, Syed Khund-Sayeed, et al.. (2011). Clinical Proteomics of the Neglected Human Malarial Parasite Plasmodium vivax. PLoS ONE. 6(10). e26623–e26623. 40 indexed citations
17.
Tanwar, Gajanand Singh, Abhishek Kochar, Sheetal Middha, et al.. (2011). Thrombocytopenia in childhood malaria with special reference toP. vivaxmonoinfection: A study from Bikaner (Northwestern India). Platelets. 23(3). 211–216. 27 indexed citations
18.
Kochar, Dhanpat Kumar, Ashis Das, Abhishek Kochar, et al.. (2010). Thrombocytopenia inPlasmodium falciparum,Plasmodium vivaxand mixed infection malaria: A study from Bikaner (Northwestern India). Platelets. 21(8). 623–627. 70 indexed citations
19.
Kochar, Dhanpat Kumar, Ashish Das, Sanjay Kumar Kochar, et al.. (2009). Severe Plasmodium vivax Malaria: A Report on Serial Cases from Bikaner in Northwestern India. American Journal of Tropical Medicine and Hygiene. 80(2). 194–198. 306 indexed citations
20.

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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