Divya Pattabiraman

416 total citations
7 papers, 227 citations indexed

About

Divya Pattabiraman is a scholar working on Aging, Molecular Biology and Epidemiology. According to data from OpenAlex, Divya Pattabiraman has authored 7 papers receiving a total of 227 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Aging, 2 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Divya Pattabiraman's work include Genetics, Aging, and Longevity in Model Organisms (3 papers), DNA Repair Mechanisms (2 papers) and Hepatitis B Virus Studies (2 papers). Divya Pattabiraman is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (3 papers), DNA Repair Mechanisms (2 papers) and Hepatitis B Virus Studies (2 papers). Divya Pattabiraman collaborates with scholars based in United States, Australia and Canada. Divya Pattabiraman's co-authors include Anne M. Villeneuve, Baptiste Roelens, Alexander Woglar, Leonie Kirszenblat, Massimo A. Hilliard, Mara Schvarzstein, Joshua N. Bembenek, Hassan Javanbakht, Simon P. Fletcher and Stéphane Daffis and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Hepatology and Genetics.

In The Last Decade

Divya Pattabiraman

7 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Divya Pattabiraman United States	6	142	60	58	41	41	7	227
Andrea Haag Switzerland	3	359 2.5×	6 0.1×	23 0.4×	15 0.4×	5 0.1×	4	397
Nnamdi Ihuegbu United States	4	131 0.9×	92 1.5×	91 1.6×	30 0.7×	1 0.0×	7	283
Alison E. Kenny United States	11	411 2.9×	61 1.0×	8 0.1×	108 2.6×	8 0.2×	11	499
Laura Thomas United States	10	253 1.8×	37 0.6×	27 0.5×	205 5.0×		20	388
Xenia Peñate Spain	11	223 1.6×	40 0.7×	17 0.3×	90 2.2×		16	299
Angika Basant United Kingdom	8	219 1.5×	18 0.3×	34 0.6×	185 4.5×		11	332
Louise S. Mogensen Denmark	6	214 1.5×	30 0.5×	4 0.1×	55 1.3×	2 0.0×	6	298
Andreas Kegel Sweden	7	327 2.3×	15 0.3×	7 0.1×	53 1.3×	4 0.1×	7	349
Pooja Sadana Germany	4	117 0.8×	15 0.3×	2 0.0×	21 0.5×	5 0.1×	5	197
Katarzyna M. Tyc United States	10	198 1.4×	25 0.4×	21 0.4×	23 0.6×	1 0.0×	18	301

Countries citing papers authored by Divya Pattabiraman

Since Specialization

Citations

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

Fields of papers citing papers by Divya Pattabiraman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Divya Pattabiraman

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

All Works

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7 of 7 papers shown

Amin, Oliver E., Emily J. Colbeck, Stéphane Daffis, et al.. (2020). Therapeutic Potential of TLR8 Agonist GS‐9688 (Selgantolimod) in Chronic Hepatitis B: Remodeling of Antiviral and Regulatory Mediators. Hepatology. 74(1). 55–71. 69 indexed citations

Amin, Oliver E., Emily J. Colbeck, Stéphane Daffis, et al.. (2019). FRI-132-In vitro modulation by TLR8 agonist GS-9688 of multiple regulatory cell types in patients with chronic hepatitis B. Journal of Hepatology. 70(1). e445–e445. 1 indexed citations

Daffis, Stéphane, Malika M. Morar, Divya Pattabiraman, et al.. (2018). Cytokine-dependent activation of MAIT cells by the TLR8 agonist GS-9688 but not the TLR7 agonist GS-9620. Journal of Hepatology. 68. S800–S800. 6 indexed citations

Pattabiraman, Divya, Baptiste Roelens, Alexander Woglar, & Anne M. Villeneuve. (2017). Meiotic recombination modulates the structure and dynamics of the synaptonemal complex during C. elegans meiosis. PLoS Genetics. 13(3). e1006670–e1006670. 77 indexed citations

Schvarzstein, Mara, Divya Pattabiraman, Diana E. Libuda, et al.. (2014). DNA Helicase HIM-6/BLM Both Promotes MutSγ-Dependent Crossovers and Antagonizes MutSγ-Independent Interhomolog Associations During Caenorhabditis elegans Meiosis. Genetics. 198(1). 193–207. 26 indexed citations

Schvarzstein, Mara, Divya Pattabiraman, Joshua N. Bembenek, & Anne M. Villeneuve. (2013). Meiotic HORMA domain proteins prevent untimely centriole disengagement during Caenorhabditis elegans spermatocyte meiosis. Proceedings of the National Academy of Sciences. 110(10). E898–907. 21 indexed citations

Kirszenblat, Leonie, Divya Pattabiraman, & Massimo A. Hilliard. (2011). LIN-44/Wnt Directs Dendrite Outgrowth through LIN-17/Frizzled in C. elegans Neurons. PLoS Biology. 9(9). e1001157–e1001157. 27 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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