Suhasini Joshi

1.4k total citations
26 papers, 750 citations indexed

About

Suhasini Joshi is a scholar working on Molecular Biology, Oncology and Immunology. According to data from OpenAlex, Suhasini Joshi has authored 26 papers receiving a total of 750 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 6 papers in Oncology and 6 papers in Immunology. Recurrent topics in Suhasini Joshi's work include Heat shock proteins research (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Suhasini Joshi is often cited by papers focused on Heat shock proteins research (6 papers), Glycosylation and Glycoproteins Research (5 papers) and Pancreatic and Hepatic Oncology Research (4 papers). Suhasini Joshi collaborates with scholars based in United States, India and China. Suhasini Joshi's co-authors include Surinder K. Batra, Gabriela Chiosis, Tai Wang, Satyanarayana Rachagani, Sushil Kumar, Sahil Sharma, Sonny L. Johansson, María P. Torres, Apar Kishor Ganti and Jeffrey L. Brodsky and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature reviews. Cancer and Gastroenterology.

In The Last Decade

Suhasini Joshi

26 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Suhasini Joshi United States 16 434 179 113 86 78 26 750
T. Kremmer Hungary 16 589 1.4× 155 0.9× 73 0.6× 68 0.8× 63 0.8× 50 881
Ramesh Ummanni India 25 756 1.7× 167 0.9× 90 0.8× 49 0.6× 61 0.8× 64 1.6k
Timothy A. Subashi United States 9 349 0.8× 75 0.4× 96 0.8× 66 0.8× 72 0.9× 15 882
George Vielhauer United States 23 905 2.1× 187 1.0× 162 1.4× 25 0.3× 90 1.2× 33 1.4k
Rand M. Miller United States 9 784 1.8× 215 1.2× 44 0.4× 42 0.5× 37 0.5× 10 1.1k
Yoshinori Kawazoe Japan 12 477 1.1× 212 1.2× 156 1.4× 74 0.9× 39 0.5× 25 909
Randall W. Hungate United States 22 643 1.5× 141 0.8× 65 0.6× 57 0.7× 49 0.6× 51 1.4k
Diane K. Luci United States 13 488 1.1× 159 0.9× 58 0.5× 84 1.0× 38 0.5× 19 940

Countries citing papers authored by Suhasini Joshi

Since Specialization
Citations

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

Fields of papers citing papers by Suhasini Joshi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Suhasini Joshi

This figure shows the co-authorship network connecting the top 25 collaborators of Suhasini Joshi. A scholar is included among the top collaborators of Suhasini Joshi 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 Suhasini Joshi. Suhasini Joshi 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, Sahil, Suhasini Joshi, Teja Kalidindi, et al.. (2023). Unraveling the Mechanism of Epichaperome Modulation by Zelavespib: Biochemical Insights on Target Occupancy and Extended Residence Time at the Site of Action. Biomedicines. 11(10). 2599–2599. 5 indexed citations
2.
Sharma, Sahil, Teja Kalidindi, Suhasini Joshi, et al.. (2022). Synthesis of 124I-labeled epichaperome probes and assessment in visualizing pathologic protein-protein interaction networks in tumor bearing mice. STAR Protocols. 3(2). 101318–101318. 4 indexed citations
3.
Ginsberg, Stephen D., et al.. (2021). The penalty of stress ‐ Epichaperomes negatively reshaping the brain in neurodegenerative disorders. Journal of Neurochemistry. 159(6). 958–979. 21 indexed citations
4.
Jiang, Yang, Chunhua Zhao, Lina Zhao, et al.. (2021). Structurally symmetric near-infrared fluorophore IRDye78-protein complex enables multimodal cancer imaging. Theranostics. 11(6). 2534–2549. 18 indexed citations
5.
Jiang, Yang, Tai Wang, Lina Zhao, et al.. (2020). Gold/alpha-lactalbumin nanoprobes for the imaging and treatment of breast cancer. Nature Biomedical Engineering. 4(7). 686–703. 75 indexed citations
6.
Sharma, Sahil, Chander Singh Digwal, Mayumi Sugita, et al.. (2020). Chemical probes and methods for single-cell detection and quantification of epichaperomes in hematologic malignancies. Methods in enzymology on CD-ROM/Methods in enzymology. 639. 289–311. 6 indexed citations
7.
Taldone, Tony, Tai Wang, Anna Rodina, et al.. (2019). A Chemical Biology Approach to the Chaperome in Cancer—HSP90 and Beyond. Cold Spring Harbor Perspectives in Biology. 12(4). a034116–a034116. 26 indexed citations
8.
Bhatia, Rakesh, Suhasini Joshi, Abhijit Aithal, et al.. (2019). MUC4 interacts and stabilize EGFR1 in a ligand‐dependent manner leading to sustained oncogenic signaling. The FASEB Journal. 33(S1). 2 indexed citations
9.
Joshi, Suhasini, Tai Wang, Thaı́s L. S. Araujo, et al.. (2018). Adapting to stress — chaperome networks in cancer. Nature reviews. Cancer. 18(9). 562–575. 94 indexed citations
10.
Kumar, Sushil, Suhasini Joshi, Asish Patel, et al.. (2016). Genetic Variants of Mucins: Unexplored Conundrum. Carcinogenesis. 38(7). bgw120–bgw120. 27 indexed citations
11.
Joshi, Suhasini, Satyanarayana Rachagani, Sushovan Guha, et al.. (2016). Bile acids‐mediated overexpression of MUC4 via FAK‐dependent c‐Jun activation in pancreatic cancer. Molecular Oncology. 10(7). 1063–1077. 30 indexed citations
12.
Joshi, Suhasini, Sushil Kumar, Sangeeta Bafna, et al.. (2015). Genetically engineered mucin mouse models for inflammation and cancer. Cancer and Metastasis Reviews. 34(4). 593–609. 26 indexed citations
13.
Kumar, Sushil, María P. Torres, Sukhwinder Kaur, et al.. (2014). Smoking accelerates pancreatic cancer progression by promoting differentiation of MDSCs and inducing HB-EGF expression in macrophages. Oncogene. 34(16). 2052–2060. 41 indexed citations
14.
Torres, María P., Satyanarayana Rachagani, Vinee Purohit, et al.. (2012). Graviola: A novel promising natural-derived drug that inhibits tumorigenicity and metastasis of pancreatic cancer cells in vitro and in vivo through altering cell metabolism. Cancer Letters. 323(1). 29–40. 157 indexed citations
15.
Qi, Wentao, Suhasini Joshi, Christopher R. Weber, et al.. (2011). Polyethylene glycol diminishes pathological effects ofCitrobacter rodentiuminfection by blocking bacterial attachment to the colonic epithelia. Gut Microbes. 2(5). 267–273. 2 indexed citations
16.
Joshi, Suhasini, et al.. (2011). Angiopoietin-2: A potential novel diagnostic marker in multiple myeloma. Clinical Biochemistry. 44(8-9). 590–595. 19 indexed citations
17.
Tiwari, Ashish K., Suhasini Joshi, Dhananjay Kunte, et al.. (2011). Superoxide Dismutase 2 (Sod2) is Overexpressed at an Early Stage During Colorectal Carcinogenesis: A Putative Target for Celecoxib Chemoprevention. Gastroenterology. 140(5). S–343. 1 indexed citations
18.
Joshi, Suhasini, et al.. (2010). Oncoproteomics. Clinica Chimica Acta. 412(3-4). 217–226. 15 indexed citations
19.
Sharma, Alpana, Rehan Khan, Suhasini Joshi, Lalit Kumar, & Manoj Sharma. (2010). Dysregulation in T helper 1/T helper 2 cytokine ratios in patients with multiple myeloma. Leukemia & lymphoma. 51(5). 920–927. 44 indexed citations
20.
Prakash, Jai, et al.. (1996). Anti-inflammatory activity of topical nimesulide gel in various experimental models. Inflammation Research. 45(12). 590–592. 14 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026