Sidney B. Simpson

1.5k citations
29 papers · 1.2k · h-index 19

Impact in

Papers in

Sidney B. Simpson

29 papers receiving 1.2k citations

Peers

Sidney B. Simpson
Comparison fields: 5 of 102
  • Developmental Neuroscience 390
  • Cellular and Molecular Neuroscience 503
  • Biomaterials 152
  • Cell Biology 187
  • Molecular Biology 634
Replace Margaret Egar with:
Margaret Egar United States
Ellen A.G. Chernoff United States
Sherry L. Rogers United States
Irvine G. McQuarrie United States
Rick I. Cohen United States
JR Sanes United States
Joanne Babiarz United States
Toomas Neuman United States
Verónica Palma Chile
Alexandra Rolletschek Germany
Sidney B. Simpson relative to Margaret Egar United States Margaret Egar's profile →
Citations per field
00.5×2.9×
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Citations per year

Countries citing papers authored by Sidney B. Simpson

Since Specialization
Citations

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

Fields of papers citing papers by Sidney B. Simpson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sidney B. Simpson. 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 Sidney B. Simpson. The network helps show where Sidney B. Simpson may publish in the future.

Co-authors

The 23 scholars most cited alongside Sidney B. Simpson, 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 Sidney B. Simpson Line = papers co-authored together Sidney B. Simpson links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1978214
2
Transforming growth factor beta 1 induces cachexia and systemic fibrosis without an antitumor effect in nude mice.
1991101
3 196894
4 196482
5 197078
6 199068
7 197854
8 199047
9 197046
10 199243
11 198143
12 199442
13 197742
14 196139
15 197438
16 196136
17 196723
18 198323
19 197719
20 197016

About Sidney B. Simpson

Sidney B. Simpson is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience, Cell Biology and Surgery, having authored 29 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (10 papers), Muscle Physiology and Disorders (8 papers), Nerve injury and regeneration (5 papers), Axon Guidance and Neuronal Signaling (4 papers), Neurobiology and Insect Physiology Research (3 papers), Zebrafish Biomedical Research Applications (3 papers), Planarian Biology and Electrostimulation (3 papers) and Silk-based biomaterials and applications (3 papers). The work is most often cited by research in Developmental Neuroscience (390 citations), Cellular and Molecular Neuroscience (503 citations), Biomaterials (152 citations), Cell Biology (187 citations) and Molecular Biology (634 citations). Sidney B. Simpson has collaborated with scholars based in United States. Frequent co-authors include Virginia McMillan Carr, Mark Duffy, Brian M. Davis, Marcus Singer, Margaret Egar, E K Bayne, Merle Mizell, Max Maizels, Joanne H. Carlson and Joseph Ayers. Their work appears in journals such as The Journal of Comparative Neurology, Developmental Biology, Experimental Neurology, Journal of Morphology and Science.

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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