Jamma Trinath

2.2k total citations · 1 hit paper
26 papers, 1.5k citations indexed

About

Jamma Trinath is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Jamma Trinath has authored 26 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 9 papers in Immunology and 6 papers in Oncology. Recurrent topics in Jamma Trinath's work include Immune Cell Function and Interaction (4 papers), Peptidase Inhibition and Analysis (3 papers) and Immune Response and Inflammation (3 papers). Jamma Trinath is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Peptidase Inhibition and Analysis (3 papers) and Immune Response and Inflammation (3 papers). Jamma Trinath collaborates with scholars based in India, United States and France. Jamma Trinath's co-authors include A. Sloan Devlin, Michael R. Krout, Soyoung Ha, Jun R. Huh, Donggi Paik, Dan R. Littman, Fraydoon Rastinejad, Jingping Lu, Michael A. Fischbach and Randy Longman and has published in prestigious journals such as Nature, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Jamma Trinath

24 papers receiving 1.4k citations

Hit Papers

Bile acid metabolites control TH17 and Treg cell differen... 2019 2026 2021 2023 2019 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jamma Trinath India 12 752 381 269 226 197 26 1.5k
Samantha Kelly United States 6 585 0.8× 239 0.6× 240 0.9× 196 0.9× 161 0.8× 12 1.1k
Jingping Lu China 10 879 1.2× 248 0.7× 269 1.0× 212 0.9× 159 0.8× 15 1.5k
Mingsong Li China 21 784 1.0× 316 0.8× 137 0.5× 184 0.8× 138 0.7× 63 1.4k
Françoise Gaudin France 19 474 0.6× 341 0.9× 226 0.8× 360 1.6× 121 0.6× 24 1.3k
Ming Shan China 23 721 1.0× 431 1.1× 218 0.8× 155 0.7× 77 0.4× 76 1.7k
Chuansheng Guo China 7 691 0.9× 405 1.1× 213 0.8× 190 0.8× 61 0.3× 7 1.1k
Jinyu Zhang China 21 671 0.9× 429 1.1× 340 1.3× 189 0.8× 65 0.3× 118 1.5k
Toshifumi Ohkusa Japan 23 703 0.9× 494 1.3× 501 1.9× 166 0.7× 124 0.6× 54 1.5k
Soumya Panigrahi United States 21 681 0.9× 387 1.0× 295 1.1× 327 1.4× 154 0.8× 37 1.7k
Mitnala Sasikala India 20 443 0.6× 243 0.6× 284 1.1× 284 1.3× 158 0.8× 66 1.4k

Countries citing papers authored by Jamma Trinath

Since Specialization
Citations

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

Fields of papers citing papers by Jamma Trinath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jamma Trinath

This figure shows the co-authorship network connecting the top 25 collaborators of Jamma Trinath. A scholar is included among the top collaborators of Jamma Trinath 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 Jamma Trinath. Jamma Trinath 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.
Trinath, Jamma, et al.. (2025). Design, synthesis, and biological evaluation of substituted benzyl-triazolopyridine derivatives as non-hydroxamate based HDAC8 inhibitors. European Journal of Medicinal Chemistry Reports. 13. 100255–100255.
3.
Trinath, Jamma, Luca Simula, Franck Letourneur, et al.. (2025). Inhibition of Atg7 in intestinal epithelial cells drives resistance against Citrobacter rodentium. Cell Death and Disease. 16(1). 112–112. 1 indexed citations
4.
Chakravarty, Manab, et al.. (2024). Targeting hexokinase 2 for oral cancer therapy: structure-based design and validation of lead compounds. Frontiers in Pharmacology. 15. 1346270–1346270. 7 indexed citations
5.
Jahromi, Mohammad Ali Farboodniay, et al.. (2024). Withametelin inhibits TGF-β induced Epithelial-to-Mesenchymal Transition and Programmed-Death Ligand-1 expression in vitro. Frontiers in Oncology. 14. 1435516–1435516. 1 indexed citations
6.
Trinath, Jamma, et al.. (2024). Host-gut microbiota derived secondary metabolite mediated regulation of Wnt/β-catenin pathway: a potential therapeutic axis in IBD and CRC. Frontiers in Oncology. 14. 1392565–1392565. 7 indexed citations
7.
Trinath, Jamma, et al.. (2024). UDCA ameliorates inflammation driven EMT by inducing TGR5 dependent SOCS1 expression in mouse macrophages. Scientific Reports. 14(1). 24285–24285. 6 indexed citations
8.
Khetmalis, Yogesh Mahadu, et al.. (2023). Design, Synthesis, and Biological Evaluation of Novel Quinazolin-4(3H)-one-Based Histone Deacetylase 6 (HDAC6) Inhibitors for Anticancer Activity. International Journal of Molecular Sciences. 24(13). 11044–11044. 11 indexed citations
9.
Khetmalis, Yogesh Mahadu, Sankaranarayanan Murugesan, Jamma Trinath, et al.. (2023). Design, synthesis, and biological evaluation of tetrahydroisoquinoline based hydroxamate derivatives as HDAC 6 inhibitors for cancer therapy. Journal of Molecular Structure. 1278. 134952–134952. 10 indexed citations
12.
Choudhury, Sumana, et al.. (2021). Functional Analysis of DNMT1 SNPs (rs2228611 and rs2114724) Associated with Schizophrenia. SHILAP Revista de lepidopterología. 2021. 1–8. 1 indexed citations
13.
Reddy, V, et al.. (2020). Endoplasmic Reticulum Stress and Intestinal Inflammation: A Perilous Union. Frontiers in Immunology. 11. 543022–543022. 51 indexed citations
14.
Hang, Saiyu, Donggi Paik, Lina Yao, et al.. (2019). Bile acid metabolites control TH17 and Treg cell differentiation. Nature. 576(7785). 143–148. 956 indexed citations breakdown →
15.
Reddy, V, Jamma Trinath, & G. Bhanuprakash Reddy. (2019). Implication of homocysteine in protein quality control processes. Biochimie. 165. 19–31. 18 indexed citations
16.
Maddur, Mohan S., Emmanuel Stephen‐Victor, Mrinmoy Das, et al.. (2017). Regulatory T cell frequency, but not plasma IL-33 levels, represents potential immunological biomarker to predict clinical response to intravenous immunoglobulin therapy. Journal of Neuroinflammation. 14(1). 58–58. 25 indexed citations
17.
Reddy, V, Satish K. Madala, Jamma Trinath, & G. Bhanuprakash Reddy. (2017). Extracellular small heat shock proteins: exosomal biogenesis and function. Cell Stress and Chaperones. 23(3). 441–454. 97 indexed citations
18.
Maddur, Mohan S., Jamma Trinath, Françis Bolgert, et al.. (2014). Intravenous immunoglobulin-mediated expansion of regulatory T cells in autoimmune patients is associated with increased prostaglandin E2 levels in the circulation. Cellular and Molecular Immunology. 12(5). 650–652. 33 indexed citations
19.
Holla, Sahana, Jamma Trinath, & Kithiganahalli Narayanaswamy Balaji. (2014). TNF-α Modulates TLR2-Dependent Responses During Mycobacterial Infection. Methods in molecular biology. 1155. 133–150. 2 indexed citations
20.
Karothu, Durga Prasad, et al.. (2014). Anthrapyrazolone analogues intercept inflammatory JNK signals to moderate endotoxin induced septic shock. Scientific Reports. 4(1). 7214–7214. 6 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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