Elliott W. Abrams

25 total papers · 877 total citations
16 papers, 652 citations indexed

About

Elliott W. Abrams is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cell Biology. According to data from OpenAlex, Elliott W. Abrams has authored 16 papers receiving a total of 652 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Cell Biology. Recurrent topics in Elliott W. Abrams's work include Developmental Biology and Gene Regulation (6 papers), Congenital heart defects research (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Elliott W. Abrams is often cited by papers focused on Developmental Biology and Gene Regulation (6 papers), Congenital heart defects research (4 papers) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers). Elliott W. Abrams collaborates with scholars based in United States, Chile and Germany. Elliott W. Abrams's co-authors include Mary C. Mullins, Deborah J. Andrew, Florence L. Marlow, Peter J. Sciavolino, Cory Abate‐Shen, Lu Yang, Michael M. Shen, Lee D. Kapp, Ricardo Fuentes and Sumei Lu and has published in prestigious journals such as Cell, PLoS ONE and Development.

In The Last Decade

Elliott W. Abrams

16 papers receiving 638 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Elliott W. Abrams	466	169	113	73	71	16	652
Gary F. Gerlach	398 0.9×	190 1.1×	102 0.9×	37 0.5×	77 1.1×	17	559
Chengjing Zhou	429 0.9×	223 1.3×	102 0.9×	30 0.4×	24 0.3×	17	725
Janet E. Champion	412 0.9×	83 0.5×	154 1.4×	82 1.1×	27 0.4×	12	623
Qing Yan	338 0.7×	162 1.0×	74 0.7×	25 0.3×	46 0.6×	19	578
Nick R. Love	504 1.1×	110 0.7×	49 0.4×	78 1.1×	26 0.4×	11	731
Greg Runke	592 1.3×	148 0.9×	136 1.2×	25 0.3×	27 0.4×	9	722
Sumeda Nandadasa	355 0.8×	260 1.5×	129 1.1×	64 0.9×	29 0.4×	18	641
Tatsuru Togo	387 0.8×	278 1.6×	38 0.3×	84 1.2×	37 0.5×	20	719
Hsi‐Yuan Yang	419 0.9×	278 1.6×	119 1.1×	24 0.3×	27 0.4×	19	792
Catherine D. Thaler	339 0.7×	177 1.0×	97 0.9×	88 1.2×	25 0.4×	24	758

Countries citing papers authored by Elliott W. Abrams

Since Specialization

Citations

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

Fields of papers citing papers by Elliott W. Abrams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Elliott W. Abrams. 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 Elliott W. Abrams. The network helps show where Elliott W. Abrams may publish in the future.

Co-authorship network of co-authors of Elliott W. Abrams

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

All Works

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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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