Sharon R. Grossman

13.9k total citations · 5 hit papers
19 papers, 5.8k citations indexed

About

Sharon R. Grossman is a scholar working on Molecular Biology, Oncology and Infectious Diseases. According to data from OpenAlex, Sharon R. Grossman has authored 19 papers receiving a total of 5.8k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 4 papers in Oncology and 2 papers in Infectious Diseases. Recurrent topics in Sharon R. Grossman's work include RNA Research and Splicing (6 papers), Genomics and Chromatin Dynamics (6 papers) and Viral-associated cancers and disorders (4 papers). Sharon R. Grossman is often cited by papers focused on RNA Research and Splicing (6 papers), Genomics and Chromatin Dynamics (6 papers) and Viral-associated cancers and disorders (4 papers). Sharon R. Grossman collaborates with scholars based in United States, United Kingdom and Gambia. Sharon R. Grossman's co-authors include Pardis C. Sabeti, Eric S. Lander, Hilary K. Finucane, Yakir Reshef, Peter J. Turnbaugh, Michael Mitzenmacher, David N. Reshef, Gil McVean, Joseph J. Vitti and Eric Johannsen and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Sharon R. Grossman

19 papers receiving 5.7k citations

Hit Papers

5 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.

Detecting Novel Associations in Large Data Sets

2011 2.3k citations David N. Reshef, Yakir Reshef et al. Science profile →
Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbations

2019 522 citations Charles P. Fulco, Joseph Nasser et al. Nature Genetics profile →
Detecting Natural Selection in Genomic Data

2013 424 citations Joseph J. Vitti, Sharon R. Grossman et al. Annual Review of Genetics profile →
Systematic mapping of functional enhancer–promoter connections with CRISPR interference

2016 390 citations Charles P. Fulco, Mathias Munschauer et al. Science profile →
A Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection

2010 362 citations Sharon R. Grossman, Elinor K. Karlsson et al. Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sharon R. Grossman United States	18	2.4k	1.1k	691	524	489	19	5.8k
Zhi Wei United States	39	3.2k 1.3×	966 0.9×	908 1.3×	838 1.6×	556 1.1×	259	6.2k
Bart De Moor Belgium	39	2.3k 1.0×	588 0.5×	427 0.6×	697 1.3×	616 1.3×	164	7.8k
Ramón Díaz‐Uriarte Spain	30	3.0k 1.2×	969 0.9×	349 0.5×	496 0.9×	517 1.1×	76	6.0k
Mao Mao China	40	2.9k 1.2×	895 0.8×	1.1k 1.6×	1.6k 3.1×	214 0.4×	489	6.5k
Hans A. Kestler Germany	45	3.4k 1.4×	534 0.5×	917 1.3×	798 1.5×	525 1.1×	264	7.2k
István Albert United States	43	5.7k 2.3×	723 0.7×	1.2k 1.7×	575 1.1×	698 1.4×	122	11.6k
Anders Berglund Sweden	44	1.9k 0.8×	481 0.4×	1.6k 2.3×	747 1.4×	504 1.0×	341	9.4k
Kenny Ye United States	34	2.8k 1.2×	3.0k 2.8×	350 0.5×	686 1.3×	198 0.4×	129	6.7k
Marcel Reinders Netherlands	54	5.9k 2.4×	1.1k 1.0×	636 0.9×	1.0k 1.9×	1.2k 2.4×	298	11.1k
Jörg Rahnenführer Germany	41	3.9k 1.6×	627 0.6×	748 1.1×	867 1.7×	488 1.0×	161	7.0k

Countries citing papers authored by Sharon R. Grossman

Since Specialization

Citations

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

Fields of papers citing papers by Sharon R. Grossman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sharon R. Grossman. 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 Sharon R. Grossman. The network helps show where Sharon R. Grossman may publish in the future.

Co-authorship network of co-authors of Sharon R. Grossman

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

All Works

Sort: Min cites: Since: Top N: Style:

19 of 19 papers shown

Gupta, Anika, Jorge D. Martin-Rufino, Thouis R. Jones, et al.. (2022). Inferring gene regulation from stochastic transcriptional variation across single cells at steady state. Proceedings of the National Academy of Sciences. 119(34). e2207392119–e2207392119. 18 indexed citations

Bergman, Drew T., Thouis R. Jones, Vincent Liu, et al.. (2022). Compatibility rules of human enhancer and promoter sequences. Nature. 607(7917). 176–184. 81 indexed citations

Fulco, Charles P., Joseph Nasser, Thouis R. Jones, et al.. (2019). Activity-by-contact model of enhancer–promoter regulation from thousands of CRISPR perturbations. Nature Genetics. 51(12). 1664–1669. 522 indexed citations breakdown →

Reshef, Yakir, Hilary K. Finucane, David R. Kelley, et al.. (2018). Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk. Nature Genetics. 50(10). 1483–1493. 38 indexed citations

Grossman, Sharon R., J Engreitz, John Ray, et al.. (2018). Positional specificity of different transcription factor classes within enhancers. Proceedings of the National Academy of Sciences. 115(30). E7222–E7230. 56 indexed citations

Grossman, Sharon R., Xiaolan Zhang, Li Wang, et al.. (2017). Systematic dissection of genomic features determining transcription factor binding and enhancer function. Proceedings of the National Academy of Sciences. 114(7). E1291–E1300. 116 indexed citations

Fulco, Charles P., Mathias Munschauer, Rockwell Anyoha, et al.. (2016). Systematic mapping of functional enhancer–promoter connections with CRISPR interference. Science. 354(6313). 769–773. 390 indexed citations breakdown →

Engreitz, J, Patrick McDonel, A.A. Shishkin, et al.. (2014). RNA-RNA Interactions Enable Specific Targeting of Noncoding RNAs to Nascent Pre-mRNAs and Chromatin Sites. Cell. 159(1). 188–199. 375 indexed citations

Vitti, Joseph J., Sharon R. Grossman, & Pardis C. Sabeti. (2013). Detecting Natural Selection in Genomic Data. Annual Review of Genetics. 47(1). 97–120. 424 indexed citations breakdown →

10.

Grossman, Sharon R., Kristian G. Andersen, Ilya Shlyakhter, et al.. (2013). Identifying Recent Adaptations in Large-Scale Genomic Data. Cell. 152(4). 703–713. 228 indexed citations

11.

Andersen, Kristian G., et al.. (2012). Genome-wide scans provide evidence for positive selection of genes implicated in Lassa fever. Philosophical Transactions of the Royal Society B Biological Sciences. 367(1590). 868–877. 69 indexed citations

12.

Reshef, David N., Yakir Reshef, Hilary K. Finucane, et al.. (2011). Detecting Novel Associations in Large Data Sets. Science. 334(6062). 1518–1524. 2316 indexed citations breakdown →

13.

Demogines, Ann, et al.. (2010). Ancient and Recent Adaptive Evolution of Primate Non-Homologous End Joining Genes. PLoS Genetics. 6(10). e1001169–e1001169. 26 indexed citations

14.

Grossman, Sharon R., Elinor K. Karlsson, Elizabeth H. Byrne, et al.. (2010). A Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection. Science. 327(5967). 883–886. 362 indexed citations breakdown →

15.

Sgro, Michael, Wendy Roberts, Sharon R. Grossman, & Tony Barozzino. (2000). School board survey of attention deficit/hyperactivity disorder: Prevalence of diagnosis and stimulant medication therapy. Paediatrics & Child Health. 5(1). 19–23. 7 indexed citations

16.

Johannsen, Eric, Cathy L. Miller, Sharon R. Grossman, & Elliott Kieff. (1996). EBNA-2 and EBNA-3C extensively and mutually exclusively associate with RBPJkappa in Epstein-Barr virus-transformed B lymphocytes. Journal of Virology. 70(6). 4179–4183. 89 indexed citations

17.

Johannsen, Eric, Eugene Y. Koh, George Mosialos, et al.. (1995). Epstein-Barr virus nuclear protein 2 transactivation of the latent membrane protein 1 promoter is mediated by J kappa and PU.1. Journal of Virology. 69(1). 253–262. 211 indexed citations

18.

Robertson, Erle S., Sharon R. Grossman, Eric Johannsen, et al.. (1995). Epstein-Barr virus nuclear protein 3C modulates transcription through interaction with the sequence-specific DNA-binding protein J kappa. Journal of Virology. 69(5). 3108–3116. 140 indexed citations

19.

Grossman, Sharon R., Eric Johannsen, Tong Xiao, Ramana R. Yalamanchili, & Elliott Kieff. (1994). The Epstein-Barr virus nuclear antigen 2 transactivator is directed to response elements by the J kappa recombination signal binding protein.. Proceedings of the National Academy of Sciences. 91(16). 7568–7572. 282 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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