Howard J. Worman

1.1k total citations
9 papers, 905 citations indexed

About

Howard J. Worman is a scholar working on Molecular Biology, Genetics and Pathology and Forensic Medicine. According to data from OpenAlex, Howard J. Worman has authored 9 papers receiving a total of 905 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 1 paper in Genetics and 1 paper in Pathology and Forensic Medicine. Recurrent topics in Howard J. Worman's work include Nuclear Structure and Function (8 papers), RNA Research and Splicing (7 papers) and Genomics and Chromatin Dynamics (2 papers). Howard J. Worman is often cited by papers focused on Nuclear Structure and Function (8 papers), RNA Research and Splicing (7 papers) and Genomics and Chromatin Dynamics (2 papers). Howard J. Worman collaborates with scholars based in United States, France and United Kingdom. Howard J. Worman's co-authors include Qian Ye, Cecilia Östlund, Yibin Wang, Wei Wu, Feng Lin, Juliet Morrison, Eric C. Schirmer, Bernard Gilquin, Sophie Zinn‐Justin and Sandrine M. Caputo and has published in prestigious journals such as Journal of Biological Chemistry, Biochemistry and Current Opinion in Cell Biology.

In The Last Decade

Howard J. Worman

9 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Howard J. Worman United States	8	835	162	102	70	19	9	905
Elen Griffith United Kingdom	6	414 0.5×	229 1.4×	168 1.6×	40 0.6×	78 4.1×	9	558
Ita Costello United Kingdom	15	796 1.0×	59 0.4×	108 1.1×	30 0.4×	35 1.8×	18	898
M. Escarceller Spain	13	432 0.5×	91 0.6×	125 1.2×	42 0.6×	57 3.0×	21	553
Silke Prätzel Germany	8	307 0.4×	195 1.2×	31 0.3×	19 0.3×	32 1.7×	9	431
Edwige Belotti France	10	332 0.4×	103 0.6×	48 0.5×	18 0.3×	40 2.1×	13	424
Yaopan Mao United States	10	530 0.6×	423 2.6×	68 0.7×	125 1.8×	40 2.1×	10	728
Caroline Badouel Canada	10	448 0.5×	409 2.5×	33 0.3×	33 0.5×	48 2.5×	11	641
Oksana V. Tyurina United States	6	704 0.8×	73 0.5×	132 1.3×	40 0.6×	37 1.9×	6	753
Manuela Morleo Italy	15	398 0.5×	106 0.7×	361 3.5×	17 0.2×	26 1.4×	22	597
Martha Kalff-Suske Germany	10	312 0.4×	51 0.3×	159 1.6×	20 0.3×	51 2.7×	15	475

Countries citing papers authored by Howard J. Worman

Since Specialization

Citations

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

Fields of papers citing papers by Howard J. Worman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Howard J. Worman. 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 Howard J. Worman. The network helps show where Howard J. Worman may publish in the future.

Co-authorship network of co-authors of Howard J. Worman

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

All Works

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9 of 9 papers shown

Worman, Howard J. & Eric C. Schirmer. (2015). Nuclear membrane diversity: underlying tissue-specific pathologies in disease?. Current Opinion in Cell Biology. 34. 101–112. 80 indexed citations

Bourgeois, Benjamin, Bernard Gilquin, Carine Tellier-Lebègue, et al.. (2013). Inhibition of TGF-β Signaling at the Nuclear Envelope: Characterization of Interactions Between MAN1, Smad2 and Smad3, and PPM1A. Science Signaling. 6(280). ra49–ra49. 43 indexed citations

Worman, Howard J., Cecilia Östlund, & Yibin Wang. (2010). Diseases of the Nuclear Envelope. Cold Spring Harbor Perspectives in Biology. 2(2). a000760–a000760. 179 indexed citations

Bourgeois, Benjamin, Carine Tellier-Lebègue, Wei Wu, et al.. (2010). Structural Analysis of the Smad2−MAN1 Interaction That Regulates Transforming Growth Factor-β Signaling at the Inner Nuclear Membrane. Biochemistry. 49(37). 8020–8032. 28 indexed citations

Caputo, Sandrine M., Joël Couprie, Isabelle Duband‐Goulet, et al.. (2006). The Carboxyl-terminal Nucleoplasmic Region of MAN1 Exhibits a DNA Binding Winged Helix Domain. Journal of Biological Chemistry. 281(26). 18208–18215. 53 indexed citations

Lin, Feng, Juliet Morrison, Wei Wu, & Howard J. Worman. (2004). MAN1, an integral protein of the inner nuclear membrane, binds Smad2 and Smad3 and antagonizes transforming growth factor-β signaling. Human Molecular Genetics. 14(3). 437–445. 162 indexed citations

Park, Alex, Lars E. Holmer, & Howard J. Worman. (1998). A human HP1 pseudogene maps to chromosome 11p14.. Somatic Cell and Molecular Genetics. 24(6). 353–356. 3 indexed citations

Ye, Qian, et al.. (1998). Nuclear lamin-binding proteins.. PubMed. 31. 587–610. 26 indexed citations

Ye, Qian & Howard J. Worman. (1996). Interaction between an Integral Protein of the Nuclear Envelope Inner Membrane and Human Chromodomain Proteins Homologous to HP1. Journal of Biological Chemistry. 271(25). 14653–14656. 331 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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