S. K. Chakraborty

462 total citations
18 papers, 373 citations indexed

About

S. K. Chakraborty is a scholar working on Aquatic Science, Ecology and Nature and Landscape Conservation. According to data from OpenAlex, S. K. Chakraborty has authored 18 papers receiving a total of 373 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Aquatic Science, 8 papers in Ecology and 7 papers in Nature and Landscape Conservation. Recurrent topics in S. K. Chakraborty's work include Physiological and biochemical adaptations (6 papers), Aquaculture Nutrition and Growth (5 papers) and Fish Biology and Ecology Studies (5 papers). S. K. Chakraborty is often cited by papers focused on Physiological and biochemical adaptations (6 papers), Aquaculture Nutrition and Growth (5 papers) and Fish Biology and Ecology Studies (5 papers). S. K. Chakraborty collaborates with scholars based in India and Belgium. S. K. Chakraborty's co-authors include S.M. Manush, Tilak Das, Anjali Pal, Nirupama Chatterjee, S.C. Mukherjee, Susmita Mukherjee, N.P. Sahu, A. K. Pal, R. S. Dalvi and A. K. Jaiswar and has published in prestigious journals such as Aquaculture, Journal of Fish Biology and Journal of Thermal Biology.

In The Last Decade

S. K. Chakraborty

14 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. K. Chakraborty India 7 263 229 118 98 42 18 373
Xiaojun Xie China 12 263 1.0× 207 0.9× 128 1.1× 109 1.1× 32 0.8× 31 427
Md. Lifat Rahi Bangladesh 15 312 1.2× 277 1.2× 58 0.5× 155 1.6× 35 0.8× 38 461
Tor Hatten Evensen Norway 11 322 1.2× 218 1.0× 172 1.5× 166 1.7× 21 0.5× 27 485
Alejandra A. López Mañanes Argentina 14 273 1.0× 290 1.3× 45 0.4× 52 0.5× 69 1.6× 34 432
Ricardo Zerolo Spain 8 227 0.9× 118 0.5× 39 0.3× 125 1.3× 50 1.2× 12 339
Ayşe Gül Harlıoğlu Türkiye 12 253 1.0× 194 0.8× 40 0.3× 51 0.5× 29 0.7× 33 359
Daan Delbare Belgium 7 217 0.8× 88 0.4× 63 0.5× 120 1.2× 40 1.0× 20 377
Wallice Paxiúba Duncan Brazil 11 172 0.7× 211 0.9× 203 1.7× 82 0.8× 32 0.8× 40 426
Ana Rodriguez‐Rúa Spain 12 194 0.7× 84 0.4× 48 0.4× 96 1.0× 34 0.8× 22 335
Md. Mahiuddin Zahangir Bangladesh 12 213 0.8× 139 0.6× 78 0.7× 129 1.3× 19 0.5× 38 411

Countries citing papers authored by S. K. Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by S. K. Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S. K. Chakraborty

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

All Works

18 of 18 papers shown
2.
Chakraborty, S. K., Alok Kumar, Jyoti Kumari, et al.. (2024). Genetic diversity analysis in maize (Zea mays L.) germplasm based on yield and yield attributing characters. International Journal of Advanced Biochemistry Research. 8(12S). 1093–1098. 1 indexed citations
3.
Chakraborty, S. K., et al.. (2023). Comparative Evaluation of the Effect of Different Chelating Agents on Mineral Content and Erosion of Radicular Dentine: A FESEM-EDS Analysis. European Endodontic Journal. 9(1). 73–80. 4 indexed citations
4.
Seema, Seema, et al.. (2022). Mungbean (Vigna radiata (L.) R. Wilczek): Progress in Breeding and Future Challenges. International Journal of Plant & Soil Science. 50–59. 3 indexed citations
5.
Kumari, Suman, et al.. (2020). Morphometric and meristic variation of congeneric sciaenid fishes Otolithes cuvieri Trewavas, 1974 and Otolithes ruber (Schneider, 1801) from Maharashtra, west coast of India.
6.
Sreekanth, G. B., S. K. Chakraborty, A. K. Jaiswar, Bappa Das, & E.B. Chakurkar. (2019). Application of deterministic and stochastic geo-statistical tools for analysing spatial patterns of fish density in a tropical monsoonal estuary. Aquatic Ecology. 53(1). 49–60. 1 indexed citations
7.
Jaiswar, A. K., et al.. (2016). Morphological variation in an anopthalmic specimen of Sperata seenghala (Sykes, 1839) from Brahmaputra River, Assam, India. Journal of Applied and Natural Science. 8(2). 905–909.
8.
Jaiswar, A. K., et al.. (2014). A record of anopthalmia in Mystus tengara (Hamilton, 1822) from Assam. Journal of Applied and Natural Science. 6(2). 589–593. 2 indexed citations
9.
Jaiswar, A. K., et al.. (2013). Application of scale shape variation in fish systematics - an illustration using six species of the family Nemipteridae (Teleostei: Perciformes). Indian Journal of Fisheries. 61(1). 88–92. 6 indexed citations
10.
Das, Tilak, Narottam Prasad Sahu, S. K. Chakraborty, et al.. (2013). Ultrastructural Alterations in the Gills ofLabeo rohitaFingerlings Exposed to Thermal Extremes. Anatomia Histologia Embryologia. 43(1). 75–80. 1 indexed citations
11.
Pavan‐Kumar, Annam, Dhirendra Singh, A. K. Jaiswar, et al.. (2013). DNA barcoding of gobiid fishes (Perciformes, Gobioidei). Mitochondrial DNA. 26(1). 15–19. 18 indexed citations
12.
Panda, Debabrata, et al.. (2011). Comparative length-weight relationship of two species of carangids Decapterus russelli (Ruppell, 1830) and Megalaspis cordyla (Linnaeus, 1758) from Mumbai waters. Indian Journal of Fisheries. 58(3). 33–37. 3 indexed citations
13.
Das, Tilak, Anjali Pal, S. K. Chakraborty, et al.. (2009). Biochemical and stress responses of rohu Labeo rohita and mrigal Cirrhinus mrigala in relation to acclimation temperatures. Journal of Fish Biology. 74(7). 1487–1498. 16 indexed citations
14.
Das, Tilak, A. K. Pal, S. K. Chakraborty, S.M. Manush, & Nirupama Chatterjee. (2006). Metabolic Elasticity and Induction of Heat Shock Protein 70 in Labeo rohita Acclimated to Three Temperatures. Asian-Australasian Journal of Animal Sciences. 19(7). 1033–1039. 40 indexed citations
15.
Das, Tilak, A. K. Pal, S. K. Chakraborty, et al.. (2006). Thermal dependence of embryonic development and hatching rate in Labeo rohita (Hamilton, 1822). Aquaculture. 255(1-4). 536–541. 43 indexed citations
16.
Das, Tilak, Anjali Pal, S. K. Chakraborty, et al.. (2005). Thermal tolerance, growth and oxygen consumption of Labeo rohita fry (Hamilton, 1822) acclimated to four temperatures. Journal of Thermal Biology. 30(5). 378–383. 105 indexed citations
17.
Das, Tilak, Anjali Pal, S. K. Chakraborty, et al.. (2004). Thermal tolerance and oxygen consumption of Indian Major Carps acclimated to four temperatures. Journal of Thermal Biology. 29(3). 157–163. 127 indexed citations
18.
Chakraborty, S. K.. (1996). Pasture and forage crop pathology: proceedings of a trilateral workshop held at the Mississippi State University, Mississippi, 10-13 April 1995... 3 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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