Tathagat Chatterjee

522 total citations
24 papers, 366 citations indexed

About

Tathagat Chatterjee is a scholar working on Hematology, Genetics and Molecular Biology. According to data from OpenAlex, Tathagat Chatterjee has authored 24 papers receiving a total of 366 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hematology, 9 papers in Genetics and 4 papers in Molecular Biology. Recurrent topics in Tathagat Chatterjee's work include Multiple Myeloma Research and Treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Tathagat Chatterjee is often cited by papers focused on Multiple Myeloma Research and Treatments (5 papers), Chronic Lymphocytic Leukemia Research (4 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). Tathagat Chatterjee collaborates with scholars based in India, United States and South Korea. Tathagat Chatterjee's co-authors include Bansi D. Malhotra, Sameer Sapra, Gajjala Sumana, Udit Soni, Chandra Mouli Pandey, Ashish Dixit, Tarun Tyagi, Anita Sahu, Mohammad Zahid Ashraf and Velu Nair and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and Analytical Chemistry.

In The Last Decade

Tathagat Chatterjee

19 papers receiving 357 citations

Peers

Tathagat Chatterjee

HEMAT

EEE

GENET

Tony L. Yang United States

Priscilla C. Munoz United States

Ruixiang Xia China

M Kanke United States

Etsuko Kitano Japan

Jiapeng Wang China

Adolfo Aleman United States

Chen‐Yuan Kao Taiwan

Azadeh Omidkhoda Iran

Marie Vandamme France

Tony L. Yang United States

Tathagat Chatterjee

199 ×1.5

HEMAT

48 ×0.4

40 ×0.6

EEE

20 ×0.4

GENET

59 ×1.3

GENET

Citations per year, relative to Tathagat Chatterjee Tathagat Chatterjee (= 1×) peers Tony L. Yang

Countries citing papers authored by Tathagat Chatterjee

Since Specialization

Citations

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

Fields of papers citing papers by Tathagat Chatterjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tathagat Chatterjee

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

All Works

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20 of 20 papers shown

Kalita, Bhargab, Uday Yanamandra, Sanjeevan Sharma, et al.. (2024). Integrative proteome analysis of bone marrow interstitial fluid and serum reveals candidate signature for acute myeloid leukemia. Journal of Proteomics. 303. 105224–105224. 1 indexed citations

Gupta, Devika, et al.. (2024). Rare complications of heart transplant: Autopsy findings. Indian Journal of Pathology and Microbiology. 67(3). 624–627.

Mishra, Kundan, Suman Kumar, Aditya Jandial, et al.. (2022). Real-world experience of anti-D immunoglobulin in immune thrombocytopenia. Annals of Hematology. 101(6). 1173–1179. 6 indexed citations

Chatterjee, Tathagat, et al.. (2021). Monoclonal gammopathy of renal significance: Spectrum of diseases and approach to a case. Saudi Journal of Kidney Diseases and Transplantation. 32(2). 298–298. 2 indexed citations

Taunk, Khushman, Tathagat Chatterjee, Sanjeevan Sharma, et al.. (2021). Proteomic Alterations in Multiple Myeloma: A Comprehensive Study Using Bone Marrow Interstitial Fluid and Serum Samples. Frontiers in Oncology. 10. 566804–566804. 16 indexed citations

Mishra, Kundan, Suman Kumar, Aditya Jandial, et al.. (2021). Real-world Experience of Rituximab in Immune Thrombocytopenia. Indian Journal of Hematology and Blood Transfusion. 37(3). 404–413. 8 indexed citations

Chatterjee, Tathagat, et al.. (2020). Role of ancillary techniques in diagnosis of challenging common hematological malignancies. SHILAP Revista de lepidopterología. 22(1). 57–57.

Chatterjee, Tathagat, et al.. (2019). Highlights of Abstracts on Plasma Cell Dyscrasia in the Annual Conference ISHBT (Kochi). Indian Journal of Hematology and Blood Transfusion. 35(1). 26–31.

Chatterjee, Tathagat, Sanjeevan Sharma, Tushar H. More, et al.. (2018). Current Understanding of the Potential of Proteomics and Metabolomics Approaches in Cancer Chemoresistance: A Focus on Multiple Myeloma. Current Topics in Medicinal Chemistry. 18(30). 2584–2598. 10 indexed citations

10.

Chatterjee, Tathagat, et al.. (2014). Burkittts Lymphoma Revisited: Series of Three Cases with Varied Clinical Presentation. Indian Journal of Hematology and Blood Transfusion. 30(S1). 215–218.

11.

Kumari, Babita, Swati Srivastava, Tathagat Chatterjee, et al.. (2014). Study of Associated Genetic Variants in Indian Subjects Reveals the Basis of Ethnicity Related Differences in Susceptibility to Venous Thromboembolism. PubMed. 2014. 1–9. 9 indexed citations

12.

Sharma, Hemant, et al.. (2012). A Rare Case of Hilar Lymph Node Schwannoma. Indian Journal of Surgery. 75(S1). 233–235. 3 indexed citations

13.

Pandey, Chandra Mouli, Gajjala Sumana, Udit Soni, et al.. (2012). Chitosan encapsulated quantum dots platform for leukemia detection. Biosensors and Bioelectronics. 38(1). 107–113. 67 indexed citations

14.

Gupta, Devika, et al.. (2012). Rare Case of Acquired Haemophilia and Lupus Anticoagulant. Indian Journal of Hematology and Blood Transfusion. 30(3). 197–200. 7 indexed citations

15.

Nair, Velu, Sanjeevan Sharma, Susmita Bhattacharya, et al.. (2009). A Study of Lenalidomide Based Chemotherapy in Multiple Myeloma in Indian Population: Special Appraisal of Thromboembolic Risk.. Blood. 114(22). 4206–4206. 1 indexed citations

16.

Dixit, Ashish, Tathagat Chatterjee, Pravas Mishra, et al.. (2007). Disseminated Intravascular Coagulation in Acute Leukemia at Presentation and During Induction Therapy. Clinical and Applied Thrombosis/Hemostasis. 13(3). 292–298. 39 indexed citations

17.

Mishra, Pravas, H. P. Pati, Tathagat Chatterjee, et al.. (2005). Hb SE disease: a clinico-hematological profile. Annals of Hematology. 84(10). 667–670. 11 indexed citations

18.

Dixit, Ashish, Tathagat Chatterjee, Pravas Mishra, et al.. (2005). Cyclosporin A in myelodysplastic syndrome: a preliminary report. Annals of Hematology. 84(9). 565–568. 16 indexed citations

19.

Mishra, Pravas, M. Mahapatra, Rajat Kumar, et al.. (2005). Philadelphia‐chromosome positive thrombocythemia in a child. European Journal Of Haematology. 75(3). 262–263. 5 indexed citations

20.

Mishra, Pravas, Ashish Dixit, Tathagat Chatterjee, et al.. (2004). Disseminated Intravascular Coagulation as an Unusual Presentation of Kala-azar: Report of Two Cases. Scandinavian Journal of Infectious Diseases. 36(6-7). 519–521. 8 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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