Chandra C. Ghosh

2.3k total citations
47 papers, 1.3k citations indexed

About

Chandra C. Ghosh is a scholar working on Immunology, Molecular Biology and Oncology. According to data from OpenAlex, Chandra C. Ghosh has authored 47 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Immunology, 17 papers in Molecular Biology and 13 papers in Oncology. Recurrent topics in Chandra C. Ghosh's work include Immune Response and Inflammation (7 papers), NF-κB Signaling Pathways (7 papers) and Immune cells in cancer (6 papers). Chandra C. Ghosh is often cited by papers focused on Immune Response and Inflammation (7 papers), NF-κB Signaling Pathways (7 papers) and Immune cells in cancer (6 papers). Chandra C. Ghosh collaborates with scholars based in United States, Germany and United Kingdom. Chandra C. Ghosh's co-authors include Samir M. Parikh, Sascha David, Aditi Mukherjee, Ivana Vancurova, S. Ananth Karumanchi, Eliyahu V. Khankin, Ashish Juvekar, Sitharam Ramaswami, Kirk M. Druey and Midori Yano and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and SHILAP Revista de lepidopterología.

In The Last Decade

Chandra C. Ghosh

44 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chandra C. Ghosh United States 18 557 292 227 207 202 47 1.3k
Bhanu Kanth Manne United States 21 529 0.9× 400 1.4× 177 0.8× 258 1.2× 306 1.5× 44 1.8k
Junjie Kou China 21 587 1.1× 325 1.1× 112 0.5× 121 0.6× 115 0.6× 44 1.1k
Grazia Malaponte Italy 25 637 1.1× 463 1.6× 89 0.4× 185 0.9× 433 2.1× 53 1.8k
Benjamin J. Pomerantz United States 14 592 1.1× 237 0.8× 195 0.9× 129 0.6× 115 0.6× 28 1.2k
Yoshito Hayashi Japan 23 505 0.9× 248 0.8× 95 0.4× 195 0.9× 231 1.1× 109 1.6k
Ekaterina K. Koltsova United States 16 523 0.9× 782 2.7× 126 0.6× 261 1.3× 218 1.1× 29 1.6k
Ningzheng Dong China 23 390 0.7× 385 1.3× 497 2.2× 69 0.3× 156 0.8× 98 1.6k
Susanne Pfeiler Germany 17 444 0.8× 813 2.8× 154 0.7× 295 1.4× 107 0.5× 27 1.6k
Junichi Hirahashi Japan 24 882 1.6× 719 2.5× 195 0.9× 153 0.7× 166 0.8× 49 2.3k
Hideki Oka Japan 18 692 1.2× 124 0.4× 338 1.5× 258 1.2× 123 0.6× 87 1.8k

Countries citing papers authored by Chandra C. Ghosh

Since Specialization
Citations

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

Fields of papers citing papers by Chandra C. Ghosh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chandra C. Ghosh. 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 Chandra C. Ghosh. The network helps show where Chandra C. Ghosh may publish in the future.

Co-authorship network of co-authors of Chandra C. Ghosh

This figure shows the co-authorship network connecting the top 25 collaborators of Chandra C. Ghosh. A scholar is included among the top collaborators of Chandra C. Ghosh 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 Chandra C. Ghosh. Chandra C. Ghosh 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
2.
Chan, Eunice C., Ararat J. Ablooglu, Chandra C. Ghosh, et al.. (2024). PARP15 Is a Susceptibility Locus for Clarkson Disease (Monoclonal Gammopathy–Associated Systemic Capillary Leak Syndrome). Arteriosclerosis Thrombosis and Vascular Biology. 44(12). 2628–2646. 2 indexed citations
4.
Jaroch, David, Chandra C. Ghosh, Prajna Guha, et al.. (2023). Abstract 1858: Enhanced delivery of anti PD-1 antibody to liver tumors in oncopig using pressure enabled drug delivery (PEDD) versus a systemic delivery. Cancer Research. 83(7_Supplement). 1858–1858. 1 indexed citations
6.
Seyfoori, Amir, Mahdieh Shokrollahi Barough, Pooneh Mokarram, et al.. (2021). Emerging Advances of Nanotechnology in Drug and Vaccine Delivery against Viral Associated Respiratory Infectious Diseases (VARID). International Journal of Molecular Sciences. 22(13). 6937–6937. 21 indexed citations
7.
Agur, Timna, Johannes Wedel, Sayantan Bose, et al.. (2021). Inhibition of mevalonate metabolism by statins augments the immunoregulatory phenotype of vascular endothelial cells and inhibits the costimulation of CD4+ T cells. American Journal of Transplantation. 22(3). 947–954. 6 indexed citations
9.
Woda, Craig B., Sarah Bruneau, Anne Linde Mak, et al.. (2019). Calcineurin inhibitors augment endothelial-to-mesenchymal transition by enhancing proliferation in association with cytokine-mediated activation. Biochemical and Biophysical Research Communications. 519(4). 667–673. 9 indexed citations
10.
Redes, Jamie, Sumati Ram‐Mohan, Chandra C. Ghosh, et al.. (2019). Aspergillus fumigatus–Secreted Alkaline Protease 1 Mediates Airways Hyperresponsiveness in Severe Asthma. ImmunoHorizons. 3(8). 368–377. 17 indexed citations
11.
Ghosh, Chandra C., Niccole Schaible, Jacob Notbohm, et al.. (2018). Multiplexed, high-throughput measurements of cell contraction and endothelial barrier function. Laboratory Investigation. 99(1). 138–145. 11 indexed citations
12.
Sangwung, Panjamaporn, Guangjin Zhou, Lalitha Nayak, et al.. (2017). KLF2 and KLF4 control endothelial identity and vascular integrity. JCI Insight. 2(4). e91700–e91700. 169 indexed citations
13.
Aisiku, Omozuanvbo, Christian Peters, Karen De Ceunynck, et al.. (2015). Parmodulins inhibit thrombus formation without inducing endothelial injury caused by vorapaxar. Blood. 125(12). 1976–1985. 68 indexed citations
14.
Ghosh, Chandra C., Kristina Thamm, Claudia Schrimpf, et al.. (2015). Drug Repurposing Screen Identifies Foxo1-Dependent Angiopoietin-2 Regulation in Sepsis*. Critical Care Medicine. 43(7). e230–e240. 36 indexed citations
15.
Stiehl, Thomas, Kristina Thamm, Jörg Kaufmann, et al.. (2014). Lung-Targeted RNA Interference Against Angiopoietin-2 Ameliorates Multiple Organ Dysfunction and Death in Sepsis. Critical Care Medicine. 42(10). e654–e662. 54 indexed citations
16.
David, Sascha, Aditi Mukherjee, Chandra C. Ghosh, et al.. (2012). Angiopoietin-2 may contribute to multiple organ dysfunction and death in sepsis*. Critical Care Medicine. 40(11). 3034–3041. 133 indexed citations
17.
Xie, Zhihui, Chandra C. Ghosh, Shoko Iwaki, et al.. (2012). Vascular endothelial hyperpermeability induces the clinical symptoms of Clarkson disease (the systemic capillary leak syndrome). Blood. 119(18). 4321–4332. 139 indexed citations
18.
Juvekar, Ashish, et al.. (2008). Proteasome inhibitors induce apoptosis of prostate cancer cells by inducing nuclear translocation of IκBα. Archives of Biochemistry and Biophysics. 475(2). 156–163. 23 indexed citations
19.
Ghosh, Chandra C., et al.. (2008). Analysis of Nucleocytoplasmic Shuttling of NFκB Proteins in Human Leukocytes. Methods in molecular biology. 457. 279–292. 6 indexed citations
20.
Miskolci, Veronika, Chandra C. Ghosh, Janet Rollins, et al.. (2006). TNFα release from peripheral blood leukocytes depends on a CRM1-mediated nuclear export. Biochemical and Biophysical Research Communications. 351(2). 354–360. 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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