Sushmita Chakraborty

472 total citations
22 papers, 348 citations indexed

About

Sushmita Chakraborty is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Sushmita Chakraborty has authored 22 papers receiving a total of 348 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Immunology, 6 papers in Pulmonary and Respiratory Medicine and 6 papers in Oncology. Recurrent topics in Sushmita Chakraborty's work include Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), T-cell and B-cell Immunology (4 papers) and Bone Metabolism and Diseases (4 papers). Sushmita Chakraborty is often cited by papers focused on Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (4 papers), T-cell and B-cell Immunology (4 papers) and Bone Metabolism and Diseases (4 papers). Sushmita Chakraborty collaborates with scholars based in India, Germany and Japan. Sushmita Chakraborty's co-authors include Katharina F. Kubatzky, Sunanda G. Dastidar, Puneet Chopra, Abhijit Ray, Dipendra Kumar Mitra, Bhaskar Saha, Santanu Kar, Ankita Srivastava, Ranjan Gupta and Arathi Nair and has published in prestigious journals such as The Journal of Immunology, International Journal of Molecular Sciences and CHEST Journal.

In The Last Decade

Sushmita Chakraborty

22 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sushmita Chakraborty India 12 126 84 65 61 39 22 348
Hernan Martinez United States 9 160 1.3× 88 1.0× 31 0.5× 88 1.4× 50 1.3× 15 355
Sergio Roberto Aguilar-Ruíz Mexico 10 258 2.0× 135 1.6× 57 0.9× 60 1.0× 25 0.6× 34 486
Yoji Murakami Japan 7 159 1.3× 91 1.1× 31 0.5× 56 0.9× 28 0.7× 25 310
Y Wakabayashi Japan 4 178 1.4× 125 1.5× 27 0.4× 81 1.3× 41 1.1× 7 427
Carlos Wotzkow Switzerland 11 101 0.8× 66 0.8× 47 0.7× 53 0.9× 30 0.8× 17 363
Regina Fillerová Czechia 13 69 0.5× 153 1.8× 86 1.3× 40 0.7× 48 1.2× 24 361
Masaharu Nohgawa Japan 10 176 1.4× 74 0.9× 34 0.5× 115 1.9× 30 0.8× 45 380
Mieke F. van Essen Netherlands 7 290 2.3× 98 1.2× 31 0.5× 32 0.5× 35 0.9× 13 506
Flavia Lakschevitz Canada 8 219 1.7× 129 1.5× 31 0.5× 51 0.8× 17 0.4× 14 550
Daniele Pierobon Italy 8 402 3.2× 144 1.7× 46 0.7× 92 1.5× 67 1.7× 10 611

Countries citing papers authored by Sushmita Chakraborty

Since Specialization
Citations

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

Fields of papers citing papers by Sushmita Chakraborty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sushmita Chakraborty

This figure shows the co-authorship network connecting the top 25 collaborators of Sushmita Chakraborty. A scholar is included among the top collaborators of Sushmita 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 Sushmita Chakraborty. Sushmita Chakraborty 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.
Chakraborty, Sushmita, Ranjan Gupta, Katharina F. Kubatzky, et al.. (2023). Negative impact of Interleukin-9 on synovial regulatory T cells in rheumatoid arthritis. Clinical Immunology. 257. 109814–109814. 8 indexed citations
2.
Chakraborty, Sushmita, Konrad A. Bode, Judith Schenz, et al.. (2023). Gαq modulates the energy metabolism of osteoclasts. Frontiers in Cellular and Infection Microbiology. 12. 1016299–1016299. 6 indexed citations
3.
Chakraborty, Sushmita, et al.. (2023). T‐cell signature cytokines distinguish pulmonary sarcoidosis from pulmonary tuberculosis. European Journal of Immunology. 53(10). e2250255–e2250255. 4 indexed citations
4.
Chakraborty, Sushmita, Jakob Schneider, Dipendra Kumar Mitra, & Katharina F. Kubatzky. (2023). Mechanistic insight of interleukin‐9 induced osteoclastogenesis. Immunology. 169(3). 309–322. 9 indexed citations
5.
Chakraborty, Sushmita, et al.. (2023). Interleukin-9 rescues class switching of Memory B cells derived from Common variable immunodeficiency patients. Clinical Immunology. 254. 109697–109697. 1 indexed citations
6.
Chakraborty, Sushmita, et al.. (2021). Inhibiting OX40 Restores Regulatory T-Cell Function and Suppresses Inflammation in Pulmonary Sarcoidosis. CHEST Journal. 160(3). 969–982. 14 indexed citations
7.
Kar, Santanu, Ranjan Gupta, Rajesh Malhotra, et al.. (2021). Interleukin-9 Facilitates Osteoclastogenesis in Rheumatoid Arthritis. International Journal of Molecular Sciences. 22(19). 10397–10397. 30 indexed citations
8.
Chakraborty, Sushmita, Devika Gupta, Deepshi Thakral, et al.. (2020). Successful reconstitution of leukocyte adhesion defect after umbilical cord blood stem cell transplant. Central European Journal of Immunology. 45(1). 117–121. 3 indexed citations
9.
10.
Nair, Arathi, et al.. (2020). Ras isoforms: signaling specificities in CD40 pathway. Cell Communication and Signaling. 18(1). 3–3. 15 indexed citations
11.
Gupta, Devika, Deepshi Thakral, Sushil Kumar Kabra, et al.. (2019). Primary Immunodeficiency Disorders Among North Indian Children. The Indian Journal of Pediatrics. 86(10). 885–891. 10 indexed citations
12.
Gupta, Devika, et al.. (2019). Post Transplant Lymphoproliferative Disorder. Indian Journal of Hematology and Blood Transfusion. 36(2). 229–237. 7 indexed citations
13.
Chakraborty, Sushmita, et al.. (2018). Inhibiting HLA-G restores IFN-γ and TNF-α producing T cell in pleural Tuberculosis. Tuberculosis. 109. 69–79. 13 indexed citations
14.
Chakraborty, Sushmita, et al.. (2017). Influence of Pasteurella multocida Toxin on the differentiation of dendritic cells into osteoclasts. Immunobiology. 223(1). 142–150. 10 indexed citations
15.
Chakraborty, Sushmita, et al.. (2017). Pasteurella multocida Toxin Triggers RANKL-Independent Osteoclastogenesis. Frontiers in Immunology. 8. 185–185. 12 indexed citations
16.
Chakraborty, Sushmita, et al.. (2015). Pasteurella multocida toxin- induced osteoclastogenesis requires mTOR activation. Cell Communication and Signaling. 13(1). 40–40. 13 indexed citations
17.
Chatterjee, Suparna, et al.. (2014). Clinical effectiveness and safety of escitalopram and desvenlafaxine in patients of depression with anxiety: A randomized, open-label controlled trial. Indian Journal of Pharmacology. 46(4). 433–433. 16 indexed citations
18.
Chakraborty, Sushmita, Puneet Chopra, Senthil Visaga Ambi, Sunanda G. Dastidar, & Abhijit Ray. (2014). Emerging therapeutic interventions for idiopathic pulmonary fibrosis. Expert Opinion on Investigational Drugs. 23(7). 893–910. 21 indexed citations
19.
Chakraborty, Sushmita, et al.. (2013). Hepatocyte growth factor is an attractive target for the treatment of pulmonary fibrosis. Expert Opinion on Investigational Drugs. 22(4). 499–515. 50 indexed citations
20.
Chakraborty, Sushmita, et al.. (2011). A comparative study of duration of postoperative analgesia between epidural bupivacaine and epidural clonidine plus bupivacaine in lumbar laminectomy surgery under general anaesthesia.. PubMed. 109(4). 230–3. 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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