Jina Bhattacharyya

893 total citations
27 papers, 601 citations indexed

About

Jina Bhattacharyya is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Jina Bhattacharyya has authored 27 papers receiving a total of 601 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Hematology, 12 papers in Genetics and 7 papers in Molecular Biology. Recurrent topics in Jina Bhattacharyya's work include Acute Myeloid Leukemia Research (8 papers), Mesenchymal stem cell research (6 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Jina Bhattacharyya is often cited by papers focused on Acute Myeloid Leukemia Research (8 papers), Mesenchymal stem cell research (6 papers) and Chronic Myeloid Leukemia Treatments (4 papers). Jina Bhattacharyya collaborates with scholars based in India, Qatar and United Kingdom. Jina Bhattacharyya's co-authors include Bithiah Grace Jaganathan, Atul Kumar, Amit Sharma, Somaiah Chinnapaka, Rajaram Swaminathan, Himangshu Sonowal, Renu Sharma, Renu Saxena, Sudha Sazawal and Anupam Sarma and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Jina Bhattacharyya

21 papers receiving 594 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jina Bhattacharyya India 10 208 165 137 106 99 27 601
Atul Kumar India 14 272 1.3× 159 1.0× 141 1.0× 123 1.2× 103 1.0× 22 771
Siobhán E. Dunphy United Kingdom 6 249 1.2× 164 1.0× 96 0.7× 256 2.4× 149 1.5× 6 821
Bithiah Grace Jaganathan India 14 417 2.0× 244 1.5× 174 1.3× 149 1.4× 115 1.2× 32 967
Kathryn Futrega Australia 19 235 1.1× 304 1.8× 313 2.3× 213 2.0× 138 1.4× 41 952
Timo Rademakers Netherlands 16 226 1.1× 48 0.3× 209 1.5× 142 1.3× 82 0.8× 32 782
Ilona Kalaszczyńska Poland 12 423 2.0× 209 1.3× 135 1.0× 149 1.4× 123 1.2× 21 864
Rubén A. Ferrer Germany 7 128 0.6× 86 0.5× 82 0.6× 69 0.7× 132 1.3× 10 543
Duohui Jing Germany 14 274 1.3× 292 1.8× 117 0.9× 76 0.7× 137 1.4× 22 905
Christopher Mason United Kingdom 8 150 0.7× 174 1.1× 131 1.0× 149 1.4× 55 0.6× 12 487
Toshiyuki Kitaori Japan 9 220 1.1× 246 1.5× 101 0.7× 139 1.3× 46 0.5× 17 805

Countries citing papers authored by Jina Bhattacharyya

Since Specialization
Citations

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

Fields of papers citing papers by Jina Bhattacharyya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jina Bhattacharyya

This figure shows the co-authorship network connecting the top 25 collaborators of Jina Bhattacharyya. A scholar is included among the top collaborators of Jina Bhattacharyya 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 Jina Bhattacharyya. Jina Bhattacharyya 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.
Sharma, Amit, Jina Bhattacharyya, Piruthivi Sukumar, & Bithiah Grace Jaganathan. (2025). PIEZO1 activity promotes stemness in mesenchymal stem cells under shear stress and enhances protection of leukemia cells. Scientific Reports. 15(1). 24244–24244.
2.
Dolai, Tuphan Kanti, et al.. (2025). Unmet Needs in Hemophilia: A Narrative Review. Journal of the Association of Physicians of India. 73(7). e61–e65.
3.
Seth, Tulika, Sameer Melinkeri, Tuphan Kanti Dolai, et al.. (2025). Preventing pneumococcal infections in patients with hematological malignancies: a review of evidence and recommendations based on modified Delphi consensus. Frontiers in Oncology. 15. 1546641–1546641. 1 indexed citations
4.
Seth, Tulika, et al.. (2024). Burden of vaso‐occlusive crisis, its management and impact on quality of life of Indian sickle cell disease patients. British Journal of Haematology. 206(1). 296–309.
5.
6.
Bhattacharyya, Jina, et al.. (2024). Hb Koya Dora: An Under-recognized Variant of Alpha Thalassemia in India. Indian Journal of Hematology and Blood Transfusion. 41(3). 688–693.
7.
8.
Sharma, Renu, Gayatri Gogoi, Amit Sharma, et al.. (2021). BMP4 enhances anoikis resistance and chemoresistance of breast cancer cells through canonical BMP signaling. Journal of Cell Communication and Signaling. 16(2). 191–205. 36 indexed citations
9.
Bhattacharyya, Jina, et al.. (2020). Clinicopathological Significance of Common Genetic Alterations in Patients With Acute Promyelocytic Leukemia. Hematology/Oncology and Stem Cell Therapy. 15(2). 54–57. 5 indexed citations
10.
Bhattacharyya, Jina, et al.. (2020). The Prognostic Impact of Epidermal Growth Factor Receptor (EGFR) in Patients with Acute Myeloid Leukaemia. Indian Journal of Hematology and Blood Transfusion. 36(4). 749–753. 7 indexed citations
11.
Agarwal, M B, Hemant Malhotra, Neelam Varma, et al.. (2018). Revised Myeloproliferative Neoplasms Working Group Consensus Recommendations for Diagnosis and Management of Primary Myelofibrosis, Polycythemia Vera, and Essential Thrombocythemia. Indian Journal of Medical and Paediatric Oncology. 39(4). 503–515. 2 indexed citations
12.
Bhattacharyya, Jina, et al.. (2017). Prevalence and Clinical Significance of FLT3 and NPM1 Mutations in Acute Myeloid Leukaemia Patients of Assam, India. Indian Journal of Hematology and Blood Transfusion. 34(1). 32–42. 15 indexed citations
13.
Saxena, Renu, et al.. (2017). NPM1 and FLT3 mutations in acute myeloid leukemia with normal karyotype: Indian perspective. Indian Journal of Pathology and Microbiology. 60(3). 355–355. 5 indexed citations
14.
Kumar, Atul, et al.. (2017). K562 chronic myeloid leukemia cells modify osteogenic differentiation and gene expression of bone marrow stromal cells. Journal of Cell Communication and Signaling. 12(2). 441–450. 22 indexed citations
15.
Kumar, Atul, et al.. (2016). Mesenchymal Stem Cells from Human Extra Ocular Muscle Harbor Neuroectodermal Differentiation Potential. PLoS ONE. 11(6). e0156697–e0156697. 9 indexed citations
16.
Kumar, Atul, et al.. (2016). Multiple roles of CD90 in cancer. Tumor Biology. 37(9). 11611–11622. 91 indexed citations
17.
Bhattacharyya, Jina, et al.. (2016). Transfusion-associated graft-vs-host disease – A case report. Acta Haematologica Polonica. 47(4). 254–257. 2 indexed citations
18.
Chinnapaka, Somaiah, Atul Kumar, Amit Sharma, et al.. (2015). Collagen Promotes Higher Adhesion, Survival and Proliferation of Mesenchymal Stem Cells. PLoS ONE. 10(12). e0145068–e0145068. 233 indexed citations
19.
Sonowal, Himangshu, et al.. (2013). Inhibition of actin polymerization decreases osteogeneic differentiation of mesenchymal stem cells through p38 MAPK pathway. Journal of Biomedical Science. 20(1). 71–71. 87 indexed citations
20.
Bhattacharyya, Jina, et al.. (2005). Congenital vitamin K-dependent coagulation factor deficiency: a case report. Blood Coagulation & Fibrinolysis. 16(7). 525–527. 9 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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