Vipul Shukla

596 total citations
21 papers, 371 citations indexed

About

Vipul Shukla is a scholar working on Molecular Biology, Genetics and Immunology. According to data from OpenAlex, Vipul Shukla has authored 21 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 6 papers in Genetics and 5 papers in Immunology. Recurrent topics in Vipul Shukla's work include Chronic Lymphocytic Leukemia Research (6 papers), Epigenetics and DNA Methylation (4 papers) and DNA Repair Mechanisms (3 papers). Vipul Shukla is often cited by papers focused on Chronic Lymphocytic Leukemia Research (6 papers), Epigenetics and DNA Methylation (4 papers) and DNA Repair Mechanisms (3 papers). Vipul Shukla collaborates with scholars based in United States, India and Canada. Vipul Shukla's co-authors include Runqing Lu, S. K. Joshi, Anjana Rao, Daniela Samaniego‐Castruita, Edahí González‐Avalos, Shibin Ma, David G. Schatz, Chan‐Wang Jerry Lio, Ferhat Ay and Abhijit Chakraborty and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Genes & Development.

In The Last Decade

Vipul Shukla

20 papers receiving 371 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Vipul Shukla United States	12	238	130	67	56	50	21	371
Stefan Rebhandl Austria	7	135 0.6×	131 1.0×	88 1.3×	121 2.2×	46 0.9×	8	319
Michiel F. van Oosterwijk Netherlands	7	184 0.8×	241 1.9×	56 0.8×	119 2.1×	47 0.9×	7	436
Rupesh H. Amin United States	6	184 0.8×	214 1.6×	25 0.4×	63 1.1×	53 1.1×	6	342
Angela Schulz Germany	6	122 0.5×	117 0.9×	126 1.9×	34 0.6×	20 0.4×	7	287
Sarah Irmscher Germany	3	225 0.9×	97 0.7×	41 0.6×	68 1.2×	27 0.5×	4	369
Romain Aucagne France	9	205 0.9×	58 0.4×	31 0.5×	34 0.6×	43 0.9×	18	291
Céline Bellanger France	9	157 0.7×	86 0.7×	88 1.3×	120 2.1×	22 0.4×	21	318
Miori Inoue Japan	7	241 1.0×	74 0.6×	33 0.5×	102 1.8×	47 0.9×	10	365
Marie Thérèse Auffredou France	9	193 0.8×	159 1.2×	27 0.4×	99 1.8×	35 0.7×	11	349
Kadriye Nehir Cosgun United States	6	185 0.8×	172 1.3×	54 0.8×	77 1.4×	62 1.2×	19	413

Countries citing papers authored by Vipul Shukla

Since Specialization

Citations

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

Fields of papers citing papers by Vipul Shukla

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vipul Shukla

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

All Works

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20 of 20 papers shown

Bi, Honghao, Kehan Ren, Ermin Li, et al.. (2025). DDX41 resolves G-quadruplexes to maintain erythroid genome integrity and prevent cGAS-mediated cell death. Nature Communications. 16(1). 7195–7195. 2 indexed citations

Srivastava, Shubhi, et al.. (2025). Rate-limiting enzymes in nucleotide metabolism synchronize nucleotide biosynthesis and chromatin formation. Molecular Cell. 85(24). 4510–4525.e8.

Abraham, Ajay, et al.. (2024). Arid1a-dependent canonical BAF complex suppresses inflammatory programs to drive efficient germinal center B cell responses. Nature Immunology. 25(9). 1704–1717. 1 indexed citations

Grody, Emanuelle I., Ajay Abraham, Vipul Shukla, & Yogesh Goyal. (2023). Toward a systems-level probing of tumor clonality. iScience. 26(5). 106574–106574. 3 indexed citations

Abraham, Ajay, et al.. (2023). Loss of SWI/SNF Complex Subunit Arid1a in B Cells Promotes Inflammation and Perturbs Germinal Center B Cell Responses. Blood. 142(Supplement 1). 1400–1400. 1 indexed citations

Sunshine, Hannah, Karolina Elżbieta Kaczor‐Urbanowicz, Feiyang Ma, et al.. (2023). Endothelial Jagged1 levels and distribution are post-transcriptionally controlled by ZFP36 decay proteins. Cell Reports. 43(1). 113627–113627. 4 indexed citations

Wu, Lizhen, Vipul Shukla, Ravi K. Dinesh, et al.. (2022). HMCES protects immunoglobulin genes specifically from deletions during somatic hypermutation. Genes & Development. 36(7-8). 433–450. 17 indexed citations

Shukla, Vipul, Daniela Samaniego‐Castruita, Zhen Dong, et al.. (2021). TET deficiency perturbs mature B cell homeostasis and promotes oncogenesis associated with accumulation of G-quadruplex and R-loop structures. Nature Immunology. 23(1). 99–108. 49 indexed citations

Lio, Chan‐Wang Jerry, Vipul Shukla, Daniela Samaniego‐Castruita, et al.. (2019). TET enzymes augment activation-induced deaminase (AID) expression via 5-hydroxymethylcytosine modifications at the Aicda superenhancer. Science Immunology. 4(34). 71 indexed citations

10.

Shukla, Vipul, Levon Halabelian, Daniela Samaniego‐Castruita, et al.. (2019). HMCES Functions in the Alternative End-Joining Pathway of the DNA DSB Repair during Class Switch Recombination in B Cells. Molecular Cell. 77(2). 384–394.e4. 36 indexed citations

11.

Shukla, Vipul, et al.. (2017). Regulation of MAPK signaling and implications in chronic lymphocytic leukemia. Leukemia & lymphoma. 59(7). 1565–1573. 15 indexed citations

12.

Haney, Staci L., Jana Opavska, David Klinkebiel, et al.. (2016). Promoter Hypomethylation and Expression Is Conserved in Mouse Chronic Lymphocytic Leukemia Induced by Decreased or Inactivated Dnmt3a. Cell Reports. 15(6). 1190–1201. 28 indexed citations

13.

Shukla, Vipul, et al.. (2016). Interferon regulatory factor 4 attenuates Notch signaling to suppress the development of chronic lymphocytic leukemia. Oncotarget. 7(27). 41081–41094. 15 indexed citations

14.

Shukla, Vipul, Nagendra K. Chaturvedi, R. Gregory Bociek, et al.. (2016). Sprouty 2: a novel attenuator of B-cell receptor and MAPK-Erk signaling in CLL. Blood. 127(19). 2310–2321. 22 indexed citations

15.

Shukla, Vipul & Runqing Lu. (2014). IRF4 and IRF8: governing the virtues of B lymphocytes. Frontiers in Biology. 9(4). 269–282. 33 indexed citations

16.

Shukla, Vipul, Shibin Ma, S. K. Joshi, & Runqing Lu. (2014). Notch2 Is Critical for CLL Development in the IRF4-/-Vh11 Mice. Blood. 124(21). 891–891. 2 indexed citations

17.

Pathak, Simanta, Shibin Ma, Vipul Shukla, & Runqing Lu. (2013). A Role for IRF8 in B Cell Anergy. The Journal of Immunology. 191(12). 6222–6230. 13 indexed citations

18.

Ma, Shibin, et al.. (2013). Accelerated Development of Chronic Lymphocytic Leukemia in New Zealand Black Mice Expressing a Low Level of Interferon Regulatory Factor 4. Journal of Biological Chemistry. 288(37). 26430–26440. 19 indexed citations

19.

Shukla, Vipul, Shibin Ma, Richard R. Hardy, S. K. Joshi, & Runqing Lu. (2013). A role for IRF4 in the development of CLL. Blood. 122(16). 2848–2855. 34 indexed citations

20.

Garg, S K, et al.. (1988). Plasma dapsone and its metabolite monoacetyldapsone levels in leprotic patients.. PubMed. 26(11). 552–4. 4 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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