Steven L. Roberds

8.5k citations
49 papers · 3.6k indexed · 1 hit paper · h-index 25

Steven L. Roberds

47 papers receiving 3.5k citations

Hit Papers

BACE knockout mice are healthy despite lacking the primar...20012026200920172001100200300400500

Peers

Steven L. Roberds
Comparison fields: 5 of 112
  • Molecular Biology 2.7k
  • Cellular and Molecular Neuroscience 1.1k
  • Physiology 928
  • Cardiology and Cardiovascular Medicine 862
  • Cell Biology 507
Replace Virginia J. Venema with:
Virginia J. Venema United States
Christoph Wießner Switzerland
Masumi Eto United States
Lisa M. Ballou United States
Jun-ichi Kawabe Japan
Yoji Sato Japan
Chris J. van Koppen Germany
Patricia McDonald United States
Kristina Lorenz Germany
Michael S. Kapiloff United States
Steven L. Roberds relative to Virginia J. Venema United States Virginia J. Venema's profile →
Citations per field
00.5×1.5×
Virginia J. Venema · 1×
Citations per year

Countries citing papers authored by Steven L. Roberds

Since Specialization
Citations

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

Fields of papers citing papers by Steven L. Roberds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Steven L. Roberds. 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 Steven L. Roberds. The network helps show where Steven L. Roberds may publish in the future.

Co-authorship network of co-authors of Steven L. Roberds

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 16
4 2
5 17
6 23
7 6
8 1
9 69
10
Characterization and Expression of Nicotinic ACh Receptors in the Mammalian Retina
3
11
BACE knockout mice are healthy despite lacking the primary beta-secretase activity in brain: implications for Alzheimer's disease therapeuticsbreakdown →
557
12 46
13 11
14 12
15 57
16 12
17 27
18 56
19 54
20 89

About Steven L. Roberds

Steven L. Roberds is a scholar working on Genetics, Biochemistry and Physiology, having authored 49 papers that have together received 3.6k indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (18 papers), Ion channel regulation and function (8 papers) and Tuberous Sclerosis Complex Research (7 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.1k citations), Molecular Biology (2.7k citations) and Cardiology and Cardiovascular Medicine (862 citations). Steven L. Roberds has collaborated with scholars based in United States, Sweden and France. Frequent co-authors include Kevin P. Campbell, Michael M. Tamkun, Richard H. Scheller, Richard D. Anderson, John P. Merlie, Oxana Ibraghimov‐Beskrovnaya, Elizabeth D. Apel, Dirk J. Snyders, Paul B. Bennett and Sunny S. Po. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

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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