Jyoti Garg

1.3k total citations
17 papers, 352 citations indexed

About

Jyoti Garg is a scholar working on Molecular Biology, Ecology and Oncology. According to data from OpenAlex, Jyoti Garg has authored 17 papers receiving a total of 352 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 4 papers in Ecology and 1 paper in Oncology. Recurrent topics in Jyoti Garg's work include Protist diversity and phylogeny (11 papers), RNA modifications and cancer (8 papers) and Epigenetics and DNA Methylation (5 papers). Jyoti Garg is often cited by papers focused on Protist diversity and phylogeny (11 papers), RNA modifications and cancer (8 papers) and Epigenetics and DNA Methylation (5 papers). Jyoti Garg collaborates with scholars based in Canada, United States and Austria. Jyoti Garg's co-authors include Ronald E. Pearlman, K. W. Michael Siu, Jeffrey Fillingham, Jeffrey C. Smith, Julian G. B. Northey, Syed Nabeel‐Shah, Jean‐Philippe Lambert, Yifan Liu, Anne‐Claude Gingras and Takahiko Akematsu and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and PLoS ONE.

In The Last Decade

Jyoti Garg

16 papers receiving 350 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jyoti Garg Canada	11	316	84	82	52	41	17	352
Christopher J. Bley United States	9	519 1.6×	33 0.4×	23 0.3×	32 0.6×	92 2.2×	11	624
Manish Kumar Tripathi India	11	346 1.1×	15 0.2×	41 0.5×	28 0.5×	32 0.8×	26	473
Magali Rompais France	8	219 0.7×	17 0.2×	28 0.3×	26 0.5×	35 0.9×	13	312
Daniel P. Romero United States	11	479 1.5×	66 0.8×	48 0.6×	23 0.4×	113 2.8×	16	527
Werner A. Eckert Germany	13	393 1.2×	78 0.9×	54 0.7×	44 0.8×	58 1.4×	26	491
M Madej United Kingdom	9	375 1.2×	49 0.6×	84 1.0×	23 0.4×	73 1.8×	11	412
Otis Littlefield United States	5	354 1.1×	64 0.8×	122 1.5×	24 0.5×	35 0.9×	6	384
Hung Quang Dang United States	12	312 1.0×	32 0.4×	33 0.4×	34 0.7×	234 5.7×	14	437
Cristina E. Requena United Kingdom	11	432 1.4×	11 0.1×	125 1.5×	9 0.2×	53 1.3×	11	541
Mathieu Catala Canada	12	432 1.4×	19 0.2×	37 0.5×	16 0.3×	85 2.1×	14	494

Countries citing papers authored by Jyoti Garg

Since Specialization

Citations

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

Fields of papers citing papers by Jyoti Garg

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jyoti Garg

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

All Works

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17 of 17 papers shown

Garg, Jyoti, Syed Nabeel‐Shah, Shangyu Dang, et al.. (2025). Bromodomain proteins IBD1 and IBD2 link histone acetylation to SWR1- and INO80-mediated H2A.Z regulation in Tetrahymena. Epigenetics & Chromatin. 18(1). 51–51.

McNeil, J. Bryan, et al.. (2024). 1,10-phenanthroline inhibits sumoylation and reveals that yeast SUMO modifications are highly transient. EMBO Reports. 25(1). 68–81. 2 indexed citations

Nabeel‐Shah, Syed, Jyoti Garg, Hyunmin Lee, et al.. (2023). Multilevel interrogation of H3.3 reveals a primordial role in transcription regulation. Epigenetics & Chromatin. 16(1). 10–10. 2 indexed citations

Garg, Jyoti, Étienne Fafard-Couture, Sherif Abou Elela, et al.. (2022). Altered tRNA processing is linked to a distinct and unusual La protein in Tetrahymena thermophila. Nature Communications. 13(1). 7332–7332. 6 indexed citations

Nabeel‐Shah, Syed, Jyoti Garg, Hyunmin Lee, et al.. (2021). Functional characterization of RebL1 highlights the evolutionary conservation of oncogenic activities of the RBBP4/7 orthologue in Tetrahymena thermophila. Nucleic Acids Research. 49(11). 6196–6212. 16 indexed citations

Nabeel‐Shah, Syed, et al.. (2021). Functional proteomics protocol for the identification of interaction partners in Tetrahymena thermophila. STAR Protocols. 2(1). 100362–100362. 3 indexed citations

Nabeel‐Shah, Syed, et al.. (2020). Nucleus-specific linker histones Hho1 and Mlh1 form distinct protein interactions during growth, starvation and development in Tetrahymena thermophila. Scientific Reports. 10(1). 168–168. 11 indexed citations

Garg, Jyoti, Syed Nabeel‐Shah, Marcelo Ponce, et al.. (2019). The Med31 Conserved Component of the Divergent Mediator Complex in Tetrahymena thermophila Participates in Developmental Regulation. Current Biology. 29(14). 2371–2379.e6. 10 indexed citations

Nabeel‐Shah, Syed, Jyoti Garg, Anne‐Claude Gingras, et al.. (2019). Proteomic Analysis of Histones H2A/H2B and Variant Hv1 in Tetrahymena thermophila Reveals an Ancient Network of Chaperones. Molecular Biology and Evolution. 36(5). 1037–1055. 11 indexed citations

10.

Nabeel‐Shah, Syed, et al.. (2019). Functional Proteomics of Nuclear Proteins in Tetrahymena thermophila: A Review. Genes. 10(5). 333–333. 11 indexed citations

11.

Garg, Jyoti, Jean‐Philippe Lambert, Syed Nabeel‐Shah, et al.. (2018). The bromodomain-containing protein Ibd1 links multiple chromatin-related protein complexes to highly expressed genes in Tetrahymena thermophila. Epigenetics & Chromatin. 11(1). 10–10. 17 indexed citations

12.

Akematsu, Takahiko, Yasuhiro Fukuda, Jyoti Garg, et al.. (2017). Post-meiotic DNA double-strand breaks occur in Tetrahymena, and require Topoisomerase II and Spo11. eLife. 6. 31 indexed citations

13.

Garg, Jyoti, Jean‐Philippe Lambert, Susanna Marquez, et al.. (2013). Conserved Asf1–importin β physical interaction in growth and sexual development in the ciliate Tetrahymena thermophila. Journal of Proteomics. 94. 311–326. 20 indexed citations

14.

Xiong, Jie, Dongxia Yuan, Jeffrey Fillingham, et al.. (2011). Gene Network Landscape of the Ciliate Tetrahymena thermophila. PLoS ONE. 6(5). e20124–e20124. 23 indexed citations

15.

Coyne, Robert S., Mathangi Thiagarajan, Jennifer R. Wortman, et al.. (2008). Refined annotation and assembly of the Tetrahymena thermophila genome sequence through EST analysis, comparative genomic hybridization, and targeted gap closure. BMC Genomics. 9(1). 562–562. 74 indexed citations

16.

Fillingham, Jeffrey, et al.. (2006). Molecular Genetic Analysis of an SNF2 / brahma -Related Gene in Tetrahymena thermophila Suggests Roles in Growth and Nuclear Development. Eukaryotic Cell. 5(8). 1347–1359. 13 indexed citations

17.

Smith, Jeffrey C., Julian G. B. Northey, Jyoti Garg, Ronald E. Pearlman, & K. W. Michael Siu. (2005). Robust Method for Proteome Analysis by MS/MS Using an Entire Translated Genome: Demonstration on the Ciliome ofTetrahymenathermophila. Journal of Proteome Research. 4(3). 909–919. 102 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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