Rachel M. Sherman

1.8k total citations
11 papers, 586 citations indexed

About

Rachel M. Sherman is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Rachel M. Sherman has authored 11 papers receiving a total of 586 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 5 papers in Genetics and 2 papers in Cancer Research. Recurrent topics in Rachel M. Sherman's work include Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Rare Diseases (2 papers). Rachel M. Sherman is often cited by papers focused on Genomics and Phylogenetic Studies (8 papers), RNA and protein synthesis mechanisms (4 papers) and Genomics and Rare Diseases (2 papers). Rachel M. Sherman collaborates with scholars based in United States, Switzerland and United Kingdom. Rachel M. Sherman's co-authors include Steven L. Salzberg, Michael C. Schatz, Melanie Kirsche, Fritz J. Sedlazeck, Daniela Puiu, Sergey Aganezov, Sai Chen, Charles H. Langley, Felix Schlesinger and Michael A. Eberle and has published in prestigious journals such as Nature Reviews Genetics, Nature Methods and Scientific Reports.

In The Last Decade

Rachel M. Sherman

11 papers receiving 579 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Rachel M. Sherman United States	9	408	248	174	67	28	11	586
Jerel C. Davis United States	8	510 1.3×	303 1.2×	243 1.4×	30 0.4×	21 0.8×	8	750
David Thybert United Kingdom	13	505 1.2×	242 1.0×	148 0.9×	32 0.5×	37 1.3×	16	650
Laurent Modolo France	11	309 0.8×	98 0.4×	230 1.3×	13 0.2×	36 1.3×	14	414
Steve Searle United Kingdom	4	154 0.4×	117 0.5×	62 0.4×	19 0.3×	28 1.0×	6	305
Zhijie Gu China	5	453 1.1×	268 1.1×	133 0.8×	33 0.5×	51 1.8×	10	725
Peter Edge United States	4	562 1.4×	200 0.8×	315 1.8×	79 1.2×	19 0.7×	5	676
Xiaowen Tian United States	4	103 0.3×	268 1.1×	81 0.5×	56 0.8×	25 0.9×	5	386
Paul Fox United States	9	415 1.0×	106 0.4×	152 0.9×	27 0.4×	28 1.0×	13	666
Sandeep Venkataram United States	10	461 1.1×	411 1.7×	115 0.7×	38 0.6×	43 1.5×	13	651
Rafik Neme United States	10	532 1.3×	182 0.7×	183 1.1×	59 0.9×	66 2.4×	18	686

Countries citing papers authored by Rachel M. Sherman

Since Specialization

Citations

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

Fields of papers citing papers by Rachel M. Sherman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rachel M. Sherman. 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 Rachel M. Sherman. The network helps show where Rachel M. Sherman may publish in the future.

Co-authorship network of co-authors of Rachel M. Sherman

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

All Works

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11 of 11 papers shown

Kirsche, Melanie, Rachel M. Sherman, Bohan Ni, et al.. (2023). Jasmine and Iris: population-scale structural variant comparison and analysis. Nature Methods. 20(3). 408–417. 44 indexed citations

Fan, Wenjun, et al.. (2022). Widespread genetic heterogeneity of human ribosomal RNA genes. RNA. 28(4). 478–492. 15 indexed citations

Yan, Stephanie M., et al.. (2021). Local adaptation and archaic introgression shape global diversity at human structural variant loci. eLife. 10. 29 indexed citations

Aganezov, Sergey, Sara Goodwin, Rachel M. Sherman, et al.. (2020). Comprehensive analysis of structural variants in breast cancer genomes using single-molecule sequencing. Genome Research. 30(9). 1258–1273. 61 indexed citations

Sherman, Rachel M. & Steven L. Salzberg. (2020). Pan-genomics in the human genome era. Nature Reviews Genetics. 21(4). 243–254. 186 indexed citations

Shumate, Alaina, Aleksey V. Zimin, Rachel M. Sherman, et al.. (2020). Assembly and annotation of an Ashkenazi human reference genome. Genome biology. 21(1). 129–129. 31 indexed citations

Chen, Sai, Peter Krusche, Egor Dolzhenko, et al.. (2019). Paragraph: a graph-based structural variant genotyper for short-read sequence data. Genome biology. 20(1). 291–291. 100 indexed citations

Sherman, Rachel M.. (2019). The Effects of Physical Activity on Inappropriate Behaviors of School-Aged Students with Autism Spectrum Disorders. SUNY Digital Repository Support (State University of New York System). 1 indexed citations

Sork, Victoria L., Sorel Fitz‐Gibbon, Daniela Puiu, et al.. (2016). First Draft Assembly and Annotation of the Genome of a California Endemic OakQuercus lobataNée (Fagaceae). G3 Genes Genomes Genetics. 6(11). 3485–3495. 90 indexed citations

10.

Sherman, Rachel M., et al.. (2015). Cross-species conservation of complementary amino acid-ribonucleobase interactions and their potential for ribosome-free encoding. Scientific Reports. 5(1). 18054–18054. 1 indexed citations

11.

Hale, James B., et al.. (2003). Predicting Math Achievement Through Neuropsychological Interpretation of WISC-III Variance Components. Journal of Psychoeducational Assessment. 21(4). 358–380. 28 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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