Abhinav Nellore

5.3k total citations · 1 hit paper
38 papers, 2.9k citations indexed

About

Abhinav Nellore is a scholar working on Molecular Biology, Cancer Research and Nuclear and High Energy Physics. According to data from OpenAlex, Abhinav Nellore has authored 38 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Cancer Research and 8 papers in Nuclear and High Energy Physics. Recurrent topics in Abhinav Nellore's work include RNA modifications and cancer (12 papers), RNA Research and Splicing (9 papers) and Cosmology and Gravitation Theories (5 papers). Abhinav Nellore is often cited by papers focused on RNA modifications and cancer (12 papers), RNA Research and Splicing (9 papers) and Cosmology and Gravitation Theories (5 papers). Abhinav Nellore collaborates with scholars based in United States, Mexico and United Kingdom. Abhinav Nellore's co-authors include Steven S. Gubser, Ben Langmead, Reid F. Thompson, Jun S. Song, Mary A. Wood, R. Lee Penn, Peter C. Searson, Gerko Oskam, Julianne K. David and Benjamin R. Weeder and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and Nucleic Acids Research.

In The Last Decade

Abhinav Nellore

37 papers receiving 2.9k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Oncogenic BRAF Regulates Oxidative Metabolism via PGC1α and MITF

2013 610 citations Abhinav Nellore, Jun S. Song et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Abhinav Nellore United States	21	1.3k	602	565	399	321	38	2.9k
Kenji Hamada Japan	24	1.1k 0.8×	181 0.3×	388 0.7×	149 0.4×	93 0.3×	106	2.4k
Manabu Kawada Japan	28	1.5k 1.2×	141 0.2×	409 0.7×	372 0.9×	40 0.1×	207	3.2k
Yihong Chen China	27	1.4k 1.0×	94 0.2×	338 0.6×	31 0.1×	94 0.3×	128	3.6k
Stephen A. Ramsey United States	30	2.3k 1.7×	120 0.2×	397 0.7×	178 0.4×	116 0.4×	92	3.9k
Feng Ni China	30	1.8k 1.4×	117 0.2×	173 0.3×	45 0.1×	97 0.3×	174	3.3k
Arto Annila Finland	36	1.3k 1.0×	92 0.2×	96 0.2×	445 1.1×	26 0.1×	115	3.3k
C. Herold Germany	25	853 0.6×	420 0.7×	83 0.1×	125 0.3×	27 0.1×	102	2.6k
David Bailey United Kingdom	27	1.0k 0.8×	303 0.5×	88 0.2×	22 0.1×	44 0.1×	114	2.4k
Frank Lee United States	39	1.8k 1.4×	2.1k 3.5×	75 0.1×	75 0.2×	183 0.6×	183	5.4k
Atsushi Matsuda Japan	29	1.8k 1.4×	88 0.1×	89 0.2×	111 0.3×	42 0.1×	136	4.2k

Countries citing papers authored by Abhinav Nellore

Since Specialization

Citations

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

Fields of papers citing papers by Abhinav Nellore

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Abhinav Nellore

This figure shows the co-authorship network connecting the top 25 collaborators of Abhinav Nellore. A scholar is included among the top collaborators of Abhinav Nellore 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 Abhinav Nellore. Abhinav Nellore 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

Maden, Sean K., Brian Walsh, Kyle Ellrott, et al.. (2023). recountmethylation enables flexible analysis of public blood DNA methylation array data. Bioinformatics Advances. 3(1). vbad020–vbad020. 2 indexed citations

Nguyen, Austin, et al.. (2022). Minimal observed impact of HLA genotype on hospitalization and severity of SARS‐CoV ‐2 infection. HLA. 99(6). 607–613.

Weeder, Benjamin R., et al.. (2021). pepsickle rapidly and accurately predicts proteasomal cleavage sites for improved neoantigen identification. Bioinformatics. 37(21). 3723–3733. 6 indexed citations

Maden, Sean K., Reid F. Thompson, Kasper D. Hansen, & Abhinav Nellore. (2021). Human methylome variation across Infinium 450K data on the Gene Expression Omnibus. NAR Genomics and Bioinformatics. 3(2). lqab025–lqab025. 9 indexed citations

Wilks, Christopher, Shijie Zheng, Brad Solomon, et al.. (2021). recount3: summaries and queries for large-scale RNA-seq expression and splicing. Genome biology. 22(1). 323–323. 114 indexed citations

David, Julianne K., Sean K. Maden, Benjamin R. Weeder, Reid F. Thompson, & Abhinav Nellore. (2020). Putatively cancer-specific exon–exon junctions are shared across patients and present in developmental and other non-cancer cells. NAR Cancer. 2(1). zcaa001–zcaa001. 15 indexed citations

Wood, Mary A., Benjamin R. Weeder, Julianne K. David, Abhinav Nellore, & Reid F. Thompson. (2020). Burden of tumor mutations, neoepitopes, and other variants are weak predictors of cancer immunotherapy response and overall survival. Genome Medicine. 12(1). 33–33. 69 indexed citations

Nellore, Abhinav, Aneta Worley, Erin W. Meermeier, et al.. (2020). Alternative splicing of MR1 regulates antigen presentation to MAIT cells. Scientific Reports. 10(1). 15429–15429. 11 indexed citations

Nguyen, Austin, Julianne K. David, Sean K. Maden, et al.. (2020). Human Leukocyte Antigen Susceptibility Map for Severe Acute Respiratory Syndrome Coronavirus 2. Journal of Virology. 94(13). 360 indexed citations

10.

Wood, Mary A., Austin Nguyen, Adam J. Struck, et al.. (2019). neoepiscope improves neoepitope prediction with multivariant phasing. Bioinformatics. 36(3). 713–720. 20 indexed citations

11.

Langmead, Ben & Abhinav Nellore. (2018). Cloud computing for genomic data analysis and collaboration. Nature Reviews Genetics. 19(4). 208–219. 177 indexed citations

12.

Wilks, Christopher, et al.. (2017). Snaptron: querying splicing patterns across tens of thousands of RNA-seq samples. Bioinformatics. 34(1). 114–116. 24 indexed citations

13.

Jaffe, Andrew E., Ran Tao, Alexis L. Norris, et al.. (2017). qSVA framework for RNA quality correction in differential expression analysis. Proceedings of the National Academy of Sciences. 114(27). 7130–7135. 59 indexed citations

14.

Nellore, Abhinav, Christopher Wilks, Kasper D. Hansen, Jeffrey T. Leek, & Ben Langmead. (2016). Rail-dbGaP: analyzing dbGaP-protected data in the cloud with Amazon Elastic MapReduce. Bioinformatics. 32(16). 2551–2553. 3 indexed citations

15.

Nellore, Abhinav, Leonardo Collado‐Torres, Andrew E. Jaffe, et al.. (2016). Rail-RNA: scalable analysis of RNA-seq splicing and coverage. Bioinformatics. 33(24). 4033–4040. 38 indexed citations

16.

Nellore, Abhinav, et al.. (2016). Scripts/outputs for paper Human splicing diversity across the Sequence Read Archive by Nellore et al.. Figshare. 1 indexed citations

17.

Collado‐Torres, Leonardo, Abhinav Nellore, Alyssa C. Frazee, et al.. (2016). Flexible expressed region analysis for RNA-seq with derfinder. Nucleic Acids Research. 45(2). e9–e9. 33 indexed citations

18.

Nellore, Abhinav & Rachel Ward. (2015). Recovery guarantees for exemplar-based clustering. Information and Computation. 245. 165–180. 18 indexed citations

19.

Ramos, Alexander, Aarón Díaz, Abhinav Nellore, et al.. (2013). Integration of Genome-wide Approaches Identifies lncRNAs of Adult Neural Stem Cells and Their Progeny In Vivo. Cell stem cell. 12(5). 616–628. 198 indexed citations

20.

Gubser, Steven S., Abhinav Nellore, Silviu S. Pufu, & Fábio D. Rocha. (2008). Thermodynamics and Bulk Viscosity of Approximate Black Hole Duals to Finite Temperature Quantum Chromodynamics. Physical Review Letters. 101(13). 131601–131601. 195 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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