Jhuma Pramanik

1.3k total citations
9 papers, 779 citations indexed

About

Jhuma Pramanik is a scholar working on Immunology, Oncology and Genetics. According to data from OpenAlex, Jhuma Pramanik has authored 9 papers receiving a total of 779 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 3 papers in Oncology and 3 papers in Genetics. Recurrent topics in Jhuma Pramanik's work include Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers) and Estrogen and related hormone effects (2 papers). Jhuma Pramanik is often cited by papers focused on Immunotherapy and Immune Responses (3 papers), Immune Cell Function and Interaction (3 papers) and Estrogen and related hormone effects (2 papers). Jhuma Pramanik collaborates with scholars based in United Kingdom, India and Finland. Jhuma Pramanik's co-authors include Bidesh Mahata, Sarah A. Teichmann, Xi Chen, Gozde Kar, Jacqueline D. Shields, Angela Riedel, Graham Duddy, Edward J. Ryder, Klaus Okkenhaug and Lia S. Campos and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Jhuma Pramanik

9 papers receiving 777 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jhuma Pramanik United Kingdom	7	306	233	190	102	76	9	779
Bidesh Mahata United Kingdom	13	627 2.0×	314 1.3×	261 1.4×	93 0.9×	127 1.7×	19	1.2k
Masaki Yoda Japan	20	516 1.7×	153 0.7×	191 1.0×	137 1.3×	88 1.2×	44	1.0k
Gozde Kar United Kingdom	13	774 2.5×	220 0.9×	243 1.3×	135 1.3×	118 1.6×	18	1.3k
Jacqueline F. Donoghue Australia	19	533 1.7×	245 1.1×	236 1.2×	41 0.4×	139 1.8×	42	1.4k
Yuhong Liu China	17	321 1.0×	116 0.5×	141 0.7×	44 0.4×	59 0.8×	53	790
Gérard Toubeau Belgium	22	470 1.5×	332 1.4×	160 0.8×	48 0.5×	52 0.7×	47	1.2k
Ping Huang China	15	348 1.1×	106 0.5×	109 0.6×	48 0.5×	146 1.9×	46	818
Xunhao Xiong United States	15	395 1.3×	148 0.6×	130 0.7×	77 0.8×	176 2.3×	24	873
Xiaomin Cai China	16	369 1.2×	170 0.7×	323 1.7×	147 1.4×	146 1.9×	50	973
Nicolas Brouilly France	14	379 1.2×	143 0.6×	96 0.5×	146 1.4×	41 0.5×	26	686

Countries citing papers authored by Jhuma Pramanik

Since Specialization

Citations

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

Fields of papers citing papers by Jhuma Pramanik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jhuma Pramanik

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

All Works

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9 of 9 papers shown

Zhao, Qiuchen, Jhuma Pramanik, Yongjin Lu, et al.. (2025). Perturbing local steroidogenesis to improve breast cancer immunity. Nature Communications. 16(1). 3945–3945. 1 indexed citations

Roy, Sougata, Sudeep Roy, Bidesh Mahata, et al.. (2023). CLICK-chemoproteomics and molecular dynamics simulation reveals pregnenolone targets and their binding conformations in Th2 cells. Frontiers in Immunology. 14. 1229703–1229703. 2 indexed citations

Roy, Sougata, Bidesh Mahata, Jhuma Pramanik, et al.. (2021). CLICK-enabled analogues reveal pregnenolone interactomes in cancer and immune cells. iScience. 24(5). 102485–102485. 8 indexed citations

Pramanik, Jhuma, et al.. (2021). Revisiting steroidogenesis and its role in immune regulation with the advanced tools and technologies. Genes and Immunity. 22(3). 125–140. 65 indexed citations

Mahata, Bidesh, Jhuma Pramanik, Louise van der Weyden, et al.. (2020). Tumors induce de novo steroid biosynthesis in T cells to evade immunity. Nature Communications. 11(1). 3588–3588. 265 indexed citations

Davidson, Sarah, Mirjana Efremova, Angela Riedel, et al.. (2020). Single-Cell RNA Sequencing Reveals a Dynamic Stromal Niche That Supports Tumor Growth. Cell Reports. 31(7). 107628–107628. 205 indexed citations

Henriksson, Johan, Xi Chen, Tomás Gomes, et al.. (2019). Genome-wide CRISPR Screens in T Helper Cells Reveal Pervasive Crosstalk between Activation and Differentiation. Cell. 176(4). 882–896.e18. 125 indexed citations

Pramanik, Jhuma, Xi Chen, Gozde Kar, et al.. (2018). Genome-wide analyses reveal the IRE1a-XBP1 pathway promotes T helper cell differentiation by resolving secretory stress and accelerating proliferation. Genome Medicine. 10(1). 76–76. 60 indexed citations

Mayers, Jonathan R., Lei Wang, Jhuma Pramanik, et al.. (2013). Regulation of ubiquitin-dependent cargo sorting by multiple endocytic adaptors at the plasma membrane. Proceedings of the National Academy of Sciences. 110(29). 11857–11862. 48 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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