Arnab Gupta

1.3k total citations
39 papers, 801 citations indexed

About

Arnab Gupta is a scholar working on Oncology, Plant Science and Molecular Biology. According to data from OpenAlex, Arnab Gupta has authored 39 papers receiving a total of 801 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Oncology, 8 papers in Plant Science and 7 papers in Molecular Biology. Recurrent topics in Arnab Gupta's work include Cancer Cells and Metastasis (4 papers), Peptidase Inhibition and Analysis (4 papers) and Protease and Inhibitor Mechanisms (4 papers). Arnab Gupta is often cited by papers focused on Cancer Cells and Metastasis (4 papers), Peptidase Inhibition and Analysis (4 papers) and Protease and Inhibitor Mechanisms (4 papers). Arnab Gupta collaborates with scholars based in India, United States and United Kingdom. Arnab Gupta's co-authors include Sougata Roy Chowdhury, Subir Biswas, Gunjan Mandal, Arindam Bhattacharyya, Kousik Kesh, Snehasikta Swarnakar, Pritha Mukherjee, Urmi Chatterji, Palash Mandal and Dhrubajyoti Chattopadhyay and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and The Journal of Immunology.

In The Last Decade

Arnab Gupta

36 papers receiving 783 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arnab Gupta India 15 279 268 220 181 97 39 801
Tomiko Yamaguchi Japan 16 164 0.6× 251 0.9× 46 0.2× 78 0.4× 76 0.8× 33 688
Jinliang Ma China 18 413 1.5× 202 0.8× 103 0.5× 220 1.2× 16 0.2× 60 926
Alessandro Sorrentino Sweden 6 377 1.4× 155 0.6× 98 0.4× 148 0.8× 10 0.1× 7 540
Daniel Northrup United States 17 794 2.8× 135 0.5× 833 3.8× 157 0.9× 96 1.0× 21 1.8k
Noopur Thakur India 13 1.0k 3.6× 331 1.2× 143 0.7× 377 2.1× 88 0.9× 54 1.4k
Francisco J. Novo Spain 20 625 2.2× 212 0.8× 140 0.6× 194 1.1× 28 0.3× 51 1.3k
N. Razavian United States 7 395 1.4× 158 0.6× 63 0.3× 78 0.4× 51 0.5× 27 591
Haruka Ueda Japan 14 186 0.7× 91 0.3× 90 0.4× 97 0.5× 32 0.3× 52 602
Abeba Tesfaye United States 16 710 2.5× 199 0.7× 139 0.6× 144 0.8× 27 0.3× 19 1.1k
Rebecca Andersen United States 13 546 2.0× 63 0.2× 24 0.1× 482 2.7× 27 0.3× 22 935

Countries citing papers authored by Arnab Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Arnab Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arnab Gupta

This figure shows the co-authorship network connecting the top 25 collaborators of Arnab Gupta. A scholar is included among the top collaborators of Arnab Gupta 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 Arnab Gupta. Arnab Gupta 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.
Mandal, Gunjan, et al.. (2024). AXL/GAS6 signaling governs differentiation of tumor-associated macrophages in breast cancer. Experimental Cell Research. 444(1). 114324–114324. 1 indexed citations
2.
Gupta, Arnab, et al.. (2023). Clinico-Pathological Factors Determining Recurrence of Phyllodes Tumors of the Breast: The 25-Year Experience at a Tertiary Cancer Centre. Journal of Personalized Medicine. 13(5). 866–866. 7 indexed citations
3.
Gupta, Arnab, et al.. (2023). Impact of COVID-19 on cancer services and patients’ outcomes: a retrospective single-center study. Annals of Translational Medicine. 11(9). 310–310. 2 indexed citations
4.
Vernooy, Ronnie, et al.. (2020). The role of community seed banks in achieving farmers’ rights. Development in Practice. 30(5). 561–574. 7 indexed citations
5.
Gupta, Arnab, et al.. (2020). IASO COVID-19 Guidelines (Updated on 9th April 2020). Indian Journal of Surgical Oncology. 11(2). 171–174. 11 indexed citations
6.
Biswas, Subir, et al.. (2018). RelA driven co-expression of CXCL13 and CXCR5 is governed by a multifaceted transcriptional program regulating breast cancer progression. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1865(2). 502–511. 22 indexed citations
7.
Mandal, Gunjan, Subir Biswas, Sougata Roy Chowdhury, et al.. (2018). Heterodimer formation by Oct4 and Smad3 differentially regulates epithelial-to-mesenchymal transition-associated factors in breast cancer progression. Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease. 1864(6). 2053–2066. 13 indexed citations
8.
Mukherjee, Pritha, Arnab Gupta, Dhrubajyoti Chattopadhyay, & Urmi Chatterji. (2017). Modulation of SOX2 expression delineates an end-point for paclitaxel-effectiveness in breast cancer stem cells. Scientific Reports. 7(1). 9170–9170. 63 indexed citations
9.
10.
Shah, Sumit, et al.. (2012). Male Breast Cancer: A Clinicopathologic Study of 42 Patients in Eastern India. Indian Journal of Surgical Oncology. 3(3). 245–249. 12 indexed citations
11.
Dey, Sanjib, et al.. (2011). Matrix metalloproteinase3 gene promoter polymorphisms and their haplotypes are associated with gastric cancer risk in eastern Indian population. Molecular Carcinogenesis. 51(S1). E42–53. 18 indexed citations
12.
Gupta, Arnab, et al.. (2010). Optimizing Results of Breast Cancer Surgery: A 8 Yrs’ Experience. Indian Journal of Surgical Oncology. 1(3). 240–244. 1 indexed citations
13.
Maiti, R., et al.. (2009). Effect of priming on seedling vigour and growth and productivity of few vegetable species; tomato, chilli, cucumber and cabbage.. International Journal of Agriculture Environment and Biotechnology. 2(4). 368–374. 2 indexed citations
14.
Gupta, Arnab, et al.. (2009). Evaluation and selection of sunflower hybrids and parents for tolerance to different levels of salinity at the seedling stage using a novel technique.. International Journal of Agriculture Environment and Biotechnology. 2(1). 57–63. 1 indexed citations
15.
Choudhary, V. K., et al.. (2008). Effect of priming on germination and vigour of chickpea seeds.. International Journal of Agriculture Environment and Biotechnology. 1(4). 196–198. 2 indexed citations
16.
Gupta, Arnab, S.S. Parihar, V. K. Choudhary, Muhammad Naseem, & R. Maiti. (2008). Germination, dormancy and its removal in isabgol (Plantago ovata Forsk).. International Journal of Agriculture Environment and Biotechnology. 1(3). 117–124. 1 indexed citations
17.
Choudhary, V. K., et al.. (2008). Effect of priming and ageing on seed quality parameters of chilli (Capsicum annuum).. International Journal of Agriculture Environment and Biotechnology. 1(3). 111–116. 2 indexed citations
18.
Gupta, Arnab, et al.. (2008). Seed priming: the aftermath.. International Journal of Agriculture Environment and Biotechnology. 1(4). 199–209. 13 indexed citations
19.
Gupta, Arnab, et al.. (2004). Analysis of human lymphocyte antigen class I expression in gastric cancer by reverse transcriptase-polymerase chain reaction. Human Immunology. 66(2). 164–169. 20 indexed citations
20.
Mukhopadhyay, Arijit, et al.. (2002). Did myocilin evolve from two different primordial proteins?. PubMed. 8. 271–9. 16 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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