Jeffrey S. Scehnet

1.4k citations
11 papers · 1.2k indexed · h-index 10
Topics
Axon Guidance and Neuronal Signaling (6 papers)Angiogenesis and VEGF in Cancer (6 papers)Hippo pathway signaling and YAP/TAZ (4 papers)

In The Last Decade

Jeffrey S. Scehnet

11 papers receiving 1.1k citations

Peers

Jeffrey S. Scehnet
Comparison fields: 5 of 81
  • Molecular Biology 774
  • Cellular and Molecular Neuroscience 380
  • Cell Biology 354
  • Oncology 178
  • Cancer Research 107
Replace Axel M. Küchler with:
Axel M. Küchler Norway
Deborah A. Hursh United States
Jyotsna Dhawan India
Catherine B. Kirn‐Safran United States
Daniel Bachiller Spain
Muriel Umbhauer France
Katie Cockburn Canada
Alana Auden Australia
Alan Jian Zhu China
Sandrine Pizette France
Jeffrey S. Scehnet relative to Axel M. Küchler Norway Axel M. Küchler's profile →
Citations per field
00.5×5.8×
Axel M. Küchler · 1×
Citations per year

Countries citing papers authored by Jeffrey S. Scehnet

Since Specialization
Citations

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

Fields of papers citing papers by Jeffrey S. Scehnet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jeffrey S. Scehnet. 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 Jeffrey S. Scehnet. The network helps show where Jeffrey S. Scehnet may publish in the future.

Co-authorship network of co-authors of Jeffrey S. Scehnet

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

All Works

11 of 11 papers shown
#WorkIndexed citations
1
Transforming the National Department of Veterans Affairs Data Warehouse to the OMOP Common Data Model.
1
2 72
3 112
4 48
5 105
6 59
7 80
8 201
9 154
10 164
11 155

About Jeffrey S. Scehnet

Jeffrey S. Scehnet is a scholar working on Cell Biology, Cellular and Molecular Neuroscience and Health Information Management, having authored 11 papers that have together received 1.2k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (6 papers), Angiogenesis and VEGF in Cancer (6 papers) and Hippo pathway signaling and YAP/TAZ (4 papers). The work is most often cited by research in Cell Biology (354 citations), Cellular and Molecular Neuroscience (380 citations) and Urology (106 citations). Jeffrey S. Scehnet has collaborated with scholars based in United States, China and Portugal. Frequent co-authors include Parkash S. Gill, Valery Krasnoperov, Eric J. Ley, Sunil Kumar, Sanong Suksaweang, Randall B. Widelitz, Michael W. Hughes, Ping Wu, Lianhai Hou and Maksim V. Plikus. Their work appears in journals such as Blood, Cancer Research and American Journal Of Pathology.

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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