Supriyo Chakraborty

3.8k total citations · 1 hit paper
142 papers, 2.4k citations indexed

About

Supriyo Chakraborty is a scholar working on Global and Planetary Change, Atmospheric Science and Ecology. According to data from OpenAlex, Supriyo Chakraborty has authored 142 papers receiving a total of 2.4k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Global and Planetary Change, 43 papers in Atmospheric Science and 27 papers in Ecology. Recurrent topics in Supriyo Chakraborty's work include Climate variability and models (29 papers), Geology and Paleoclimatology Research (20 papers) and Plant Water Relations and Carbon Dynamics (17 papers). Supriyo Chakraborty is often cited by papers focused on Climate variability and models (29 papers), Geology and Paleoclimatology Research (20 papers) and Plant Water Relations and Carbon Dynamics (17 papers). Supriyo Chakraborty collaborates with scholars based in India, United States and China. Supriyo Chakraborty's co-authors include Mani Srivastava, Milind Mujumdar, C. Gnanaseelan, Ashwini Kulkarni, Rajkumar Hajra, Nitesh Sinha, Dipankar Sarma, R. Ramesh, Pramit Kumar Deb Burman and Anandakumar Karipot and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and The Science of The Total Environment.

In The Last Decade

Supriyo Chakraborty

133 papers receiving 2.4k citations

Hit Papers

Assessment of Climate Cha... 2020 2026 2022 2024 2020 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Supriyo Chakraborty India 26 864 812 416 367 318 142 2.4k
B. P. Marchant United Kingdom 36 1.6k 1.8× 789 1.0× 343 0.8× 488 1.3× 210 0.7× 112 3.8k
Wanchang Zhang China 31 1.3k 1.5× 635 0.8× 360 0.9× 184 0.5× 242 0.8× 167 3.3k
Barry Croke Australia 38 3.4k 3.9× 888 1.1× 670 1.6× 182 0.5× 154 0.5× 185 6.7k
Rosa Filgueira Vicente United Kingdom 5 485 0.6× 478 0.6× 215 0.5× 140 0.4× 165 0.5× 11 2.2k
Andy Bell United Kingdom 2 465 0.5× 458 0.6× 200 0.5× 121 0.3× 158 0.5× 2 2.0k
Mike J. Smith United Kingdom 24 343 0.4× 733 0.9× 338 0.8× 176 0.5× 80 0.3× 102 2.6k
Dawn J. Wright United States 29 721 0.8× 630 0.8× 806 1.9× 262 0.7× 648 2.0× 89 3.5k
Michael Kühn Australia 35 928 1.1× 726 0.9× 237 0.6× 113 0.3× 2.0k 6.3× 124 3.5k
T. F. Stepinski United States 29 660 0.8× 494 0.6× 454 1.1× 266 0.7× 73 0.2× 152 3.0k
Ling Yao China 31 1.0k 1.2× 650 0.8× 287 0.7× 421 1.1× 270 0.8× 146 2.8k

Countries citing papers authored by Supriyo Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Supriyo Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Supriyo Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Supriyo Chakraborty. A scholar is included among the top collaborators of Supriyo Chakraborty 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 Supriyo Chakraborty. Supriyo Chakraborty 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.
Chakraborty, Supriyo, et al.. (2025). Designing a cellular MicroRNA-based approach to silence bat-borne Nipah virus genes. Journal of NeuroVirology. 31(5). 407–424.
2.
Sharma, Deepika & Supriyo Chakraborty. (2024). RNA editing sites and triplet usage in exomes of bat RNA virus genomes of the family Paramyxoviridae. Microbial Pathogenesis. 194. 106796–106796. 2 indexed citations
3.
McGregor, Helen, Tara R. Clark, Jody M. Webster, et al.. (2024). Coral skeletal proxy records database for the Great Barrier Reef, Australia. Earth system science data. 16(10). 4869–4930. 1 indexed citations
4.
Burman, Pramit Kumar Deb, et al.. (2024). Simulating the ecosystem-atmosphere carbon, water and energy fluxes at a subtropical Indian forest using an ecosystem model. Ecological Modelling. 490. 110637–110637. 5 indexed citations
6.
Zhang, Jingyi, Wusheng Yu, Stephen Lewis, et al.. (2023). Controls on Stable Water Isotopes in Monsoonal Precipitation Across the Bay of Bengal: Atmosphere and Surface Analysis. Geophysical Research Letters. 50(5). 10 indexed citations
7.
Chakraborty, Supriyo, Rajib Chattopadhyay, Aasif Mohmad Lone, et al.. (2022). Modulation of the Precipitation Isotopes by the Dynamic and Thermodynamic Variables of the Atmosphere in Southern Parts of India. Water Resources Research. 58(8). 6 indexed citations
8.
Ashok, Karumuri, et al.. (2018). The ENSO teleconnections to the Indian summer monsoon climate through the Last Millennium as simulated by the PMIP3. Biogeosciences (European Geosciences Union). 3 indexed citations
9.
10.
Sinha, Nitesh, et al.. (2016). Past rainfall reconstruction using speleothem from Nakarallu cave, kadapa, Andhra Pradesh, India. EGU General Assembly Conference Abstracts. 1 indexed citations
11.
Chakraborty, Supriyo, et al.. (2014). Estimation of past atmospheric carbon dioxide levels using tree-ring cellulose Delta 13 C. Current Science. 107(6). 971–982. 1 indexed citations
12.
Chakraborty, Supriyo, et al.. (2014). ipShield: a framework for enforcing context-aware privacy. Networked Systems Design and Implementation. 143–156. 52 indexed citations
13.
Choi, Hak Soo, et al.. (2014). Towards a rich sensing stack for IoT devices. International Conference on Computer Aided Design. 424–427. 3 indexed citations
14.
Chakraborty, Supriyo, et al.. (2012). Balancing value and risk in information sharing through obfuscation. International Conference on Information Fusion. 1615–1622. 5 indexed citations
15.
Ramesh, R., Manish Tiwari, Supriyo Chakraborty, et al.. (2010). Retrieval of south Asian monsoon variation during the Holocene from natural climate archives.. Current Science. 99(12). 1770–1786. 29 indexed citations
16.
Chakraborty, Supriyo & Rajkumar Hajra. (2007). Solar control of ambient ionization of the ionosphere near the crest of the equatorial anomaly in the Indian zone. SHILAP Revista de lepidopterología. 35. 599–605. 3 indexed citations
17.
Chakraborty, Supriyo. (2006). Coral Records from the Northern Indian Ocean: Understanding the Monsoon Variability. Journal of the Geological Society of India. 68(3). 395–405. 5 indexed citations
18.
Lea, David W., et al.. (2001). Uranium-series and radiocarbon geochronology of deep-sea corals: implications for Southern Ocean ventilation rates and the oceanic carbon cycle. Earth and Planetary Science Letters. 193(1-2). 167–182. 64 indexed citations
19.
Chakraborty, Supriyo, et al.. (1998). Inheritance of seed yield and its components in blackgram (Vigna mungo L. hepper). Indian Journal of Genetics and Plant Breeding (The). 58(2). 225–227. 2 indexed citations
20.
Chakraborty, Supriyo, et al.. (1996). Petrology of the Gruber anorthosite massif, central Dronning Maud Land, East Antarctica. 50(3). 189–240. 2 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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