Gopa Mitra

2.2k total citations · 1 hit paper
58 papers, 1.9k citations indexed

About

Gopa Mitra is a scholar working on Molecular Biology, Aquatic Science and Cell Biology. According to data from OpenAlex, Gopa Mitra has authored 58 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 14 papers in Aquatic Science and 9 papers in Cell Biology. Recurrent topics in Gopa Mitra's work include Aquaculture Nutrition and Growth (14 papers), Fish Biology and Ecology Studies (10 papers) and Mass Spectrometry Techniques and Applications (7 papers). Gopa Mitra is often cited by papers focused on Aquaculture Nutrition and Growth (14 papers), Fish Biology and Ecology Studies (10 papers) and Mass Spectrometry Techniques and Applications (7 papers). Gopa Mitra collaborates with scholars based in India, United States and Russia. Gopa Mitra's co-authors include Mariano Barbacid, Dionisio Martín‐Zanca, R. Oskam, T D Copeland, Jonathan R. Warner, Howard M. Fried, P.K. Mukhopadhyay, Asim Poddar, Bhabatarak Bhattacharyya and S. Ayyappan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Blood.

In The Last Decade

Gopa Mitra

58 papers receiving 1.9k citations

Hit Papers

Molecular and biochemical characterization of the human t... 1989 2026 2001 2013 1989 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gopa Mitra India 21 1.1k 450 240 201 196 58 1.9k
Robert M. Tombes United States 29 1.6k 1.4× 330 0.7× 85 0.4× 117 0.6× 660 3.4× 55 2.8k
Gilles Salbert France 29 2.1k 2.0× 346 0.8× 199 0.8× 374 1.9× 80 0.4× 66 3.3k
Thomas V. Waehneldt Germany 27 1.1k 1.0× 430 1.0× 46 0.2× 213 1.1× 301 1.5× 72 2.0k
Teppei Yamaguchi United States 14 1.2k 1.1× 191 0.4× 28 0.1× 102 0.5× 94 0.5× 15 1.5k
Shinya Yamashita Japan 22 886 0.8× 168 0.4× 87 0.4× 110 0.5× 112 0.6× 78 1.7k
Trevor R. Pettitt United Kingdom 26 1.4k 1.2× 152 0.3× 141 0.6× 342 1.7× 508 2.6× 48 2.0k
Michael A. Cahill Germany 29 1.6k 1.4× 233 0.5× 30 0.1× 362 1.8× 177 0.9× 62 2.6k
J. Pouysségur France 18 1.9k 1.7× 286 0.6× 51 0.2× 72 0.4× 228 1.2× 23 2.4k
Tiziana Guarnieri Italy 18 820 0.8× 159 0.4× 26 0.1× 234 1.2× 198 1.0× 49 1.7k
Nicole Teusch Germany 16 879 0.8× 465 1.0× 17 0.1× 535 2.7× 259 1.3× 49 2.1k

Countries citing papers authored by Gopa Mitra

Since Specialization
Citations

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

Fields of papers citing papers by Gopa Mitra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gopa Mitra

This figure shows the co-authorship network connecting the top 25 collaborators of Gopa Mitra. A scholar is included among the top collaborators of Gopa Mitra 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 Gopa Mitra. Gopa Mitra 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.
Kumar, Vineet, R. K. Mishra, Gopa Mitra, et al.. (2022). Free spermidine evokes superoxide radicals that manifest toxicity. eLife. 11. 20 indexed citations
3.
Mandal, Amit Kumar, et al.. (2019). Understanding molecular features of aggregation-resistant tau conformer using oxidized monomer. Biochimica et Biophysica Acta (BBA) - General Subjects. 1863(6). 993–1005. 4 indexed citations
4.
Muralidharan, Monita, et al.. (2018). Effect of altered solution conditions on tau conformational dynamics: Plausible implication on order propensity and aggregation. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1866(5-6). 668–679. 11 indexed citations
5.
Mitra, Gopa, et al.. (2016). Mass Spectrometry-Based Diagnosis of Hemoglobinopathies: A Potential Tool for the Screening of Genetic Disorder. Biochemical Genetics. 54(6). 816–825. 7 indexed citations
6.
Jena, J. K., et al.. (2015). Evaluation of growth performance and compatibility of Labeo fimbriatus (Bloch, 1795) with major carps in polyculture system. Indian Journal of Fisheries. 62(4). 4 indexed citations
7.
Muralidharan, Monita, et al.. (2015). Mass spectrometry based characterization of Hb Beckman variant in a falsely elevated HbA1c sample. Analytical Biochemistry. 489. 53–58. 7 indexed citations
8.
Mitra, Gopa, Suvroma Gupta, Asim Poddar, & Bhabatarak Bhattacharyya. (2015). MAP2c prevents arachidonic acid-induced fibril formation of tau: Role of chaperone activity and phosphorylation. Biophysical Chemistry. 205. 16–23. 9 indexed citations
9.
Pradhan, Pravata Kumar, J. K. Jena, Gopa Mitra, Neeraj Sood, & Enric Gisbert. (2012). Ontogeny of the digestive tract in butter catfish Ompok bimaculatus (Bloch) larvae. Fish Physiology and Biochemistry. 38(6). 1601–1617. 33 indexed citations
10.
Shet, Arun S., et al.. (2011). Glutathionyl Hemoglobin Is Elevated in Iron Deficiency Anemia. Acta Haematologica. 127(1). 26–30. 9 indexed citations
11.
Mandal, Ujjwal, Subhadip Ghosh, Gopa Mitra, et al.. (2008). A Femtosecond Study of the Interaction of Human Serum Albumin with a Surfactant (SDS). Chemistry - An Asian Journal. 3(8-9). 1430–1434. 20 indexed citations
12.
Mitra, Gopa, P.K. Mukhopadhyay, & S. Ayyappan. (2008). Modulation of digestive enzyme activities during ontogeny of Labeo rohita larvae fed ascorbic acid enriched zooplankton. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 149(4). 341–350. 35 indexed citations
13.
Mitra, Gopa, et al.. (2007). Chaperone‐mediated inhibition of tubulin self‐assembly. Proteins Structure Function and Bioinformatics. 67(1). 112–120. 11 indexed citations
14.
Mitra, Gopa, et al.. (2005). Breeding and Seed Production of the Ganga River Prawn Macrobrachium gangeticum (Bate) Under Captive Conditions. Asian Fisheries Science. 18(4). 2 indexed citations
15.
Sarkar, Taradas, Gopa Mitra, Suvroma Gupta, et al.. (2004). MAP2 prevents protein aggregation and facilitates reactivation of unfolded enzymes. European Journal of Biochemistry. 271(8). 1488–1496. 17 indexed citations
16.
Mitra, Gopa & P.K. Mukhopadhyay. (2002). Growth, Nutrient Utilization, and Tissue Biochemical Changes in Rohu,Labeo rohita, Fed with Natural and Prepared Diets. Journal of Applied Aquaculture. 12(3). 65–80. 15 indexed citations
17.
Jackson, Janis H., et al.. (1997). Stimulated human leukocytes cause activating mutations in the K-ras proto-oncogene. Oncogene. 14(23). 2803–2808. 16 indexed citations
18.
Martín‐Zanca, Dionisio, Gopa Mitra, Linda K. Long, & Mariano Barbacid. (1986). Molecular Characterization of the Human trk Oncogene. Cold Spring Harbor Symposia on Quantitative Biology. 51(0). 983–992. 38 indexed citations
19.
Poddar, Mrinal K., Gopa Mitra, & J. J. Ghosh. (1978). Δ9-Tetrahydrocannabinol-induced changes in brain ribosomes. Toxicology and Applied Pharmacology. 46(3). 737–757. 5 indexed citations
20.
Mitra, Gopa, Mrinal K. Poddar, & J. J. Ghosh. (1975). Effect of Λ9-tetrahydrocannabinol on rat liver microsomal lipid peroxidation. Toxicology and Applied Pharmacology. 34(3). 525–528. 4 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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