T Srivastava

1.2k total citations · 1 hit paper
14 papers, 680 citations indexed

About

T Srivastava is a scholar working on Insect Science, Molecular Biology and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, T Srivastava has authored 14 papers receiving a total of 680 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Insect Science, 2 papers in Molecular Biology and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in T Srivastava's work include Insect behavior and control techniques (5 papers), Plant and animal studies (2 papers) and Insect Pest Control Strategies (2 papers). T Srivastava is often cited by papers focused on Insect behavior and control techniques (5 papers), Plant and animal studies (2 papers) and Insect Pest Control Strategies (2 papers). T Srivastava collaborates with scholars based in India, Japan and France. T Srivastava's co-authors include Dusko S. Ehrlich, Hidehiro Toh, Hidetoshi Morita, Hideki Noguchi, Hiroshi Mori, Masahira Hattori, Ken Kurokawa, Kenshiro Oshima, Toshihisa Takagi and Yoshitoshi Ogura and has published in prestigious journals such as Frontiers in Microbiology, Value in Health and DNA Research.

In The Last Decade

T Srivastava

8 papers receiving 660 citations

Hit Papers

Comparative Metagenomics Revealed Commonly Enriched Gene ... 2007 2026 2013 2019 2007 200 400 600

Peers

T Srivastava
Catherine E. Muller United States
Robert W. P. Glowacki United States
Sonia Ballal United States
Andrew Van Brunt United States
Robert Schmaltz United States
Catherine E. Muller United States
T Srivastava
Citations per year, relative to T Srivastava T Srivastava (= 1×) peers Catherine E. Muller

Countries citing papers authored by T Srivastava

Since Specialization
Citations

This map shows the geographic impact of T Srivastava'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 T Srivastava with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Srivastava more than expected).

Fields of papers citing papers by T Srivastava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T Srivastava

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

All Works

14 of 14 papers shown
1.
Swami, Sanjeev & T Srivastava. (2024). MSR228 Can Gen-AI Assist in Interpreting the Health Economic Model Results as Per Target Audience?. Value in Health. 27(12). S483–S483.
2.
Srivastava, T & Sanjeev Swami. (2024). MSR233 Thinking Enough? Evaluating Advanced Large Language Models' Reasoning Algorithms in HEOR. Value in Health. 27(12). S484–S484.
3.
Srivastava, T, et al.. (2024). EE504 Leveraging Large Language Models for Conceptualizing Health Economic Models: A Feasibility Study in Oncology. Value in Health. 27(12). S155–S155. 1 indexed citations
4.
Srivastava, T, et al.. (2024). MSR176 Nudging Forward: Behavioral Economics and Artificial Intelligence as Catalysts in HEOR. Value in Health. 27(12). S473–S473.
5.
Srivastava, T & Sanjeev Swami. (2024). MSR44 Can Gen-AI Plugins Work as a Savior for MS-Excel Based Health Economic Models?. Value in Health. 27(12). S446–S446.
6.
Sharma, Rahul, et al.. (2024). PCR152 Can We Speak to GPT to Inform Patient Preference Studies?. Value in Health. 27(6). S324–S324.
7.
Swami, Sanjeev & T Srivastava. (2024). MSR41 Human vs Machine: Gen-AI Frameworks and Recommendations in HEOR. Value in Health. 27(12). S446–S446.
8.
Chauhan, Nar Singh, Rajesh Pandey, Shashank Gupta, et al.. (2018). Western Indian Rural Gut Microbial Diversity in Extreme Prakriti Endo-Phenotypes Reveals Signature Microbes. Frontiers in Microbiology. 9. 118–118. 33 indexed citations
9.
Kurokawa, Ken, Takehiko Itoh, Tomomi Kuwahara, et al.. (2007). Comparative Metagenomics Revealed Commonly Enriched Gene Sets in Human Gut Microbiomes. DNA Research. 14(4). 169–181. 627 indexed citations breakdown →
10.
Srivastava, T, et al.. (2001). Choice of oviposition site between surface of the medium and paper in four Indian species of Drosophila.. PubMed. 39(4). 383–6. 1 indexed citations
11.
Srivastava, T & B. N. Singh. (1998). Effect of temperature on oviposition in four species of the melanogaster group of Drosophila. Revista Brasileira de Biologia. 58(3). 491–495. 4 indexed citations
12.
Srivastava, T & B. N. Singh. (1996). Bidirectional Selection for Choice of Oviposition Site in Drosophila ananassae.. Genes & Genomics. 18(4). 295–300. 8 indexed citations
13.
Srivastava, T & B. N. Singh. (1996). Rhythmicity in oviposition pattern in light and darkness in four Indian species of Drosophila.. Biological Research. 29(4). 355–360. 1 indexed citations
14.
Srivastava, T & B. N. Singh. (1993). Oviposition site preference in four species of Drosophila.. PubMed. 31(5). 460–2. 5 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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