Prachi P. Trivedi

407 total citations
8 papers, 314 citations indexed

About

Prachi P. Trivedi is a scholar working on Immunology, Molecular Biology and Clinical Biochemistry. According to data from OpenAlex, Prachi P. Trivedi has authored 8 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology, 4 papers in Molecular Biology and 2 papers in Clinical Biochemistry. Recurrent topics in Prachi P. Trivedi's work include T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Reproductive System and Pregnancy (3 papers). Prachi P. Trivedi is often cited by papers focused on T-cell and B-cell Immunology (4 papers), Immune Cell Function and Interaction (4 papers) and Reproductive System and Pregnancy (3 papers). Prachi P. Trivedi collaborates with scholars based in United States, Sweden and Italy. Prachi P. Trivedi's co-authors include Bao-Xue Ge, Jack L. Strominger, Konrad Krzewski, Robert H. Swanborg, Xi Chen, Linda D. Hazlett, Norbert A. Wolf, Shahrzad Lighvani, Xi Huang and Paul C. Roberts and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and The Journal of Immunology.

In The Last Decade

Prachi P. Trivedi

8 papers receiving 310 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Prachi P. Trivedi United States	7	169	102	43	33	25	8	314
Yiqi Wan China	8	144 0.9×	129 1.3×	37 0.9×	10 0.3×	17 0.7×	14	340
Radhika Chadha United States	8	107 0.6×	135 1.3×	18 0.4×	24 0.7×	45 1.8×	14	333
Mamta Giri United States	10	95 0.6×	127 1.2×	31 0.7×	19 0.6×	24 1.0×	12	268
Wenmin Zhang China	11	93 0.6×	144 1.4×	74 1.7×	17 0.5×	23 0.9×	20	313
Jay Kearney Ireland	7	124 0.7×	229 2.2×	16 0.4×	11 0.3×	36 1.4×	7	354
Soon-Suk Kang South Korea	9	110 0.7×	103 1.0×	61 1.4×	15 0.5×	13 0.5×	21	374
Jinny Paul United States	9	228 1.3×	106 1.0×	45 1.0×	15 0.5×	22 0.9×	25	412
Lan Kang China	6	144 0.9×	142 1.4×	29 0.7×	7 0.2×	27 1.1×	11	307
Carlos Tabraue Spain	9	206 1.2×	168 1.6×	40 0.9×	12 0.4×	32 1.3×	15	442
Geeta Pararajasegaram United States	11	119 0.7×	119 1.2×	8 0.2×	15 0.5×	44 1.8×	13	374

Countries citing papers authored by Prachi P. Trivedi

Since Specialization

Citations

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

Fields of papers citing papers by Prachi P. Trivedi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Prachi P. Trivedi. 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 Prachi P. Trivedi. The network helps show where Prachi P. Trivedi may publish in the future.

Co-authorship network of co-authors of Prachi P. Trivedi

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

All Works

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8 of 8 papers shown

Ball, Writoban Basu, et al.. (2020). Vps39 is required for ethanolamine-stimulated elevation in mitochondrial phosphatidylethanolamine. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1865(6). 158655–158655. 13 indexed citations

Zulkifli, Mohammad, Shrishiv Timbalia, Yingqi Chen, et al.. (2020). Yeast homologs of human MCUR1 regulate mitochondrial proline metabolism. Nature Communications. 11(1). 4866–4866. 21 indexed citations

Ghosh, Alok, et al.. (2015). Mitochondrial disease genesCOA6,COX6BandSCO2have overlapping roles in COX2 biogenesis. Human Molecular Genetics. 25(4). 660–671. 41 indexed citations

Kheradmand, Taba, Prachi P. Trivedi, Norbert A. Wolf, Paul C. Roberts, & Robert H. Swanborg. (2008). Characterization of a subset of bone marrow-derived natural killer cells that regulates T cell activation in rats. Journal of Leukocyte Biology. 83(5). 1128–1135. 7 indexed citations

Trivedi, Prachi P., et al.. (2007). Regulation of Adaptive Immunity by Cells of the Innate Immune System: Bone Marrow Natural Killer Cells Inhibit T Cell Proliferation. Advances in experimental medicine and biology. 590. 113–120. 2 indexed citations

Chen, Xi, Prachi P. Trivedi, Bao-Xue Ge, Konrad Krzewski, & Jack L. Strominger. (2007). Many NK cell receptors activate ERK2 and JNK1 to trigger microtubule organizing center and granule polarization and cytotoxicity. Proceedings of the National Academy of Sciences. 104(15). 6329–6334. 123 indexed citations

Trivedi, Prachi P., Paul C. Roberts, Norbert A. Wolf, & Robert H. Swanborg. (2005). NK Cells Inhibit T Cell Proliferation via p21-Mediated Cell Cycle Arrest. The Journal of Immunology. 174(8). 4590–4597. 44 indexed citations

Lighvani, Shahrzad, Xi Huang, Prachi P. Trivedi, Robert H. Swanborg, & Linda D. Hazlett. (2005). Substance P regulates natural killer cell interferon‐γ production and resistance to Pseudomonas aeruginosa infection. European Journal of Immunology. 35(5). 1567–1575. 63 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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