Amit Chakraborty

601 total citations
32 papers, 475 citations indexed

About

Amit Chakraborty is a scholar working on Nature and Landscape Conservation, Global and Planetary Change and Statistical and Nonlinear Physics. According to data from OpenAlex, Amit Chakraborty has authored 32 papers receiving a total of 475 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Nature and Landscape Conservation, 8 papers in Global and Planetary Change and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Amit Chakraborty's work include Ecology and Vegetation Dynamics Studies (7 papers), Ecosystem dynamics and resilience (6 papers) and Evolution and Genetic Dynamics (4 papers). Amit Chakraborty is often cited by papers focused on Ecology and Vegetation Dynamics Studies (7 papers), Ecosystem dynamics and resilience (6 papers) and Evolution and Genetic Dynamics (4 papers). Amit Chakraborty collaborates with scholars based in United States, India and China. Amit Chakraborty's co-authors include Bai-Lian Li, Gui‐Quan Sun, Zhen Jin, Quan‐Xing Liu, Ce Wang, Tao Li, Alexander B. Medvinsky, Kurt E. Anderson, Б. В. Адамович and Peijian Shi and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and FEBS Letters.

In The Last Decade

Amit Chakraborty

31 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amit Chakraborty United States 11 88 76 74 67 64 32 475
Zeyan Wu China 10 119 1.4× 33 0.4× 51 0.7× 90 1.3× 62 1.0× 21 335
Amiya Ranjan Bhowmick India 13 164 1.9× 21 0.3× 31 0.4× 137 2.0× 121 1.9× 36 504
P. Fergola Italy 10 94 1.1× 31 0.4× 28 0.4× 47 0.7× 29 0.5× 26 349
Chuang Liu China 8 26 0.3× 124 1.6× 108 1.5× 21 0.3× 35 0.5× 23 726
Dung Quang Le Malaysia 12 124 1.4× 31 0.4× 7 0.1× 85 1.3× 124 1.9× 29 468
J. F. Drake United States 8 142 1.6× 117 1.5× 44 0.6× 182 2.7× 111 1.7× 9 457
Hengguo Yu China 17 489 5.6× 21 0.3× 29 0.4× 234 3.5× 73 1.1× 69 856
Ashkaan K. Fahimipour United States 11 19 0.2× 85 1.1× 46 0.6× 51 0.8× 179 2.8× 19 451
Graeme P. Boswell United Kingdom 15 11 0.1× 91 1.2× 262 3.5× 67 1.0× 87 1.4× 20 657
Giovanni Sansone Italy 19 150 1.7× 119 1.6× 31 0.4× 128 1.9× 69 1.1× 47 1.0k

Countries citing papers authored by Amit Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Amit Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Amit Chakraborty. A scholar is included among the top collaborators of Amit 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 Amit Chakraborty. Amit 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.
Das, Jayanta Kumar, et al.. (2023). Circulating renin-angiotensin systems mediated feedback controls over the mean-arterial pressure. Journal of Theoretical Biology. 572. 111589–111589. 2 indexed citations
2.
Wang, Ce, et al.. (2022). Phase partitioning effects on seasonal compositions and distributions of terrigenous polycyclic aromatic hydrocarbons along the South China Sea and East China Sea. The Science of The Total Environment. 828. 154430–154430. 9 indexed citations
3.
Chuev, Gennady N., Marat Valiev, Marina V. Fedotova, et al.. (2022). Site Density Functional Theory and Structural Bioinformatics Analysis of the SARS-CoV Spike Protein and hACE2 Complex. Molecules. 27(3). 799–799. 8 indexed citations
4.
Chakraborty, Amit, et al.. (2021). A Carbohydrate‐based Synthetic Approach to Diverse Structurally and Stereochemically Complex Chiral Polyheterocycles. Chemistry - An Asian Journal. 16(24). 4108–4121. 3 indexed citations
5.
Das, Jayanta Kumar, Krishnan MohanKumar, Swarup Roy, et al.. (2021). Mutation-Induced Long-Range Allosteric Interactions in the Spike Protein Determine the Infectivity of SARS-CoV-2 Emerging Variants. ACS Omega. 6(46). 31305–31320. 9 indexed citations
6.
Medvinsky, Alexander B., Gui‐Quan Sun, Bai-Lian Li, et al.. (2020). Allosteric regulation of glutamate dehydrogenase deamination activity. Scientific Reports. 10(1). 16523–16523. 10 indexed citations
7.
8.
Banerjee, Malay, Alexander B. Medvinsky, Gui‐Quan Sun, et al.. (2019). Feedforward Control of Plant Nitrate Transporter NRT1.1 Biphasic Adaptive Activity. Biophysical Journal. 118(4). 898–908. 16 indexed citations
9.
Адамович, Б. В., et al.. (2018). Relations between variations in the lake bacterioplankton abundance and the lake trophic state: Evidence from the 20-year monitoring. Ecological Indicators. 97. 120–129. 31 indexed citations
10.
Medvinsky, Alexander B., et al.. (2018). Adaptive Regulation of Nitrate Transceptor NRT1.1 in Fluctuating Soil Nitrate Conditions. iScience. 2. 41–50. 22 indexed citations
11.
Sun, Gui‐Quan, et al.. (2016). Impacts of Climate Change on Biological Dynamics. Discrete Dynamics in Nature and Society. 2016(1). 1 indexed citations
12.
Sharma, Anuj K., et al.. (2016). Robust regulation of hepatic pericentral amination by glutamate dehydrogenase kinetics. Integrative Biology. 8(11). 1126–1132. 1 indexed citations
13.
Shi, Peijian, Xingyuan Men, Hardev S. Sandhu, et al.. (2013). The “general” ontogenetic growth model is inapplicable to crop growth. Ecological Modelling. 266. 1–9. 28 indexed citations
14.
Chakraborty, Amit, et al.. (2012). Biochemical interactions between HIV‐1 integrase and reverse transcriptase. FEBS Letters. 587(5). 425–429. 4 indexed citations
15.
Chakraborty, Amit, et al.. (2011). Contribution of biodiversity to ecosystem functioning: a non-equilibrium thermodynamic perspective. Journal of Arid Land. 3(1). 71–74. 4 indexed citations
16.
Chakraborty, Amit, et al.. (2010). Departure from naturalized to invasive stage: a disturbance-induced mechanism and associated interacting factors. Journal of Plant Ecology. 3(4). 231–242. 3 indexed citations
17.
Chakraborty, Amit, et al.. (2010). The role of fluctuating resource supply in a habitat maintained by the competition‐colonization trade‐off. Annals of the New York Academy of Sciences. 1195(s1). E27–39. 6 indexed citations
18.
Sun, Gui‐Quan, Quan‐Xing Liu, Zhen Jin, Amit Chakraborty, & Bai-Lian Li. (2010). Influence of infection rate and migration on extinction of disease in spatial epidemics. Journal of Theoretical Biology. 264(1). 95–103. 47 indexed citations
19.
Chakraborty, Amit & Bai-Lian Li. (2009). Plant-to-plant direct competition for belowground resource in an overlapping depletion zone. Journal of Arid Land. 1(1). 9–15. 6 indexed citations
20.
Chakraborty, Amit, et al.. (2006). A Process-Based Mathematical Model on Methane Production with Emission Indices for Control. Bulletin of Mathematical Biology. 68(6). 1293–1314. 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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