Gail Workman

25 papers receiving 1.5k citations

Hit Papers

Control of excitatory CNS synaptogenesis by astrocyte-secreted proteins Hevin and SPARC 2011 · 464 citations
4642011202620162021100200300400

Peers

Gail Workman
Comparison fields: 5 of 93
  • Developmental Neuroscience 158
  • Neurology 265
  • Rheumatology 420
  • Immunology and Allergy 116
  • Cellular and Molecular Neuroscience 270
Replace Paul L. Kaplan with:
Paul L. Kaplan United States
Elisabeth Raschperger Sweden
Michael Vanlandewijck Sweden
R. Maki United States
James P. Fandl United States
Mathias Buttmann Germany
Lieve Umans Belgium
Luke T. Krebs United States
Anna Papazoglou Germany
María Victoria Gómez‐Gaviro Spain
Gail Workman relative to Paul L. Kaplan United States Paul L. Kaplan's profile →
Citations per field
00.5×5.4×
Paul L. Kaplan · 1×
Citations per year

Countries citing papers authored by Gail Workman

Since Specialization
Citations

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

Fields of papers citing papers by Gail Workman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Gail Workman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gail Workman Line = papers co-authored together Gail Workman links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Control of excitatory CNS synaptogenesis by astrocyte-secreted proteins Hevin and SPARC
Hit paper breakdown →
2011464
2 2005169
3 2003164
4 2006140
5 200896
6 201476
7 200867
8 200453
9 201651
10 200437
11 200631
12 200925
13 200923
14 201120
15 201120
16 201620
17 201519
18 200519
19 20208
20 20037

About Gail Workman

Gail Workman is a scholar working on Rheumatology, Cell Biology, Molecular Biology, Genetics and Immunology and Allergy, having authored 25 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bone and Dental Protein Studies (13 papers), Connective tissue disorders research (8 papers), Proteoglycans and glycosaminoglycans research (8 papers), Cell Adhesion Molecules Research (5 papers), Cancer Research and Treatments (4 papers), Tissue Engineering and Regenerative Medicine (2 papers), Advanced Glycation End Products research (2 papers) and Glycosylation and Glycoproteins Research (2 papers). The work is most often cited by research in Developmental Neuroscience (158 citations), Neurology (265 citations), Rheumatology (420 citations), Immunology and Allergy (116 citations) and Cellular and Molecular Neuroscience (270 citations). Gail Workman has collaborated with scholars based in United States, Germany and Finland. Frequent co-authors include E. Helene Sage, Matt Weaver, Chandrani Chakraborty, Laura Conatser, M. Ilcim Ozlu, Nicola J. Allen, Matthew D. Weaver, Anthony T. Lee, Rolf A. Brekken and Çağla Eroğlu. Their work appears in journals such as Journal of Biological Chemistry, Matrix Biology, Journal of Cellular Biochemistry, Journal of Histochemistry & Cytochemistry and The Journal of Immunology.

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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