Randy S. Schrecengost

1.9k citations
19 papers · 1.5k indexed · 1 hit paper · h-index 13
Topics
Ubiquitin and proteasome pathways (5 papers)Sphingolipid Metabolism and Signaling (4 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)

In The Last Decade

Randy S. Schrecengost

19 papers receiving 1.5k citations

Hit Papers

Discovery and evaluation of inhibitors of human sphingosi...20032026201020182003100200300400500

Peers

Randy S. Schrecengost
Comparison fields: 5 of 84
  • Molecular Biology 1.1k
  • Oncology 410
  • Pulmonary and Respiratory Medicine 333
  • Cell Biology 331
  • Cancer Research 218
Replace Barbara Nicke with:
Barbara Nicke Germany
Daniela Barilá Italy
Doris R. Siwak United States
Esther Castellano Spain
Matthias Drosten Spain
Nicole R. Murray United States
Antonia Bellizzi Italy
Scott T. Eblen United States
Karsten Parczyk Germany
Nandini Dey United States
Randy S. Schrecengost relative to Barbara Nicke Germany Barbara Nicke's profile →
Citations per field
00.5×2.5×
Barbara Nicke · 1×
Citations per year

Countries citing papers authored by Randy S. Schrecengost

Since Specialization
Citations

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

Fields of papers citing papers by Randy S. Schrecengost

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Randy S. Schrecengost

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

All Works

19 of 19 papers shown
#WorkIndexed citations
1 1
2 3
3 9
4 46
5 12
6 2
7 41
8 99
9 265
10 34
11 99
12 22
13 45
14 24
15 219
16 52
17 6
18 31
19
Discovery and evaluation of inhibitors of human sphingosine kinase.breakdown →
529

About Randy S. Schrecengost

Randy S. Schrecengost is a scholar working on Structural Biology, Immunology and Allergy and Oncology, having authored 19 papers that have together received 1.5k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (5 papers), Sphingolipid Metabolism and Signaling (4 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Cell Biology (331 citations), Molecular Biology (1.1k citations) and Oncology (410 citations). Randy S. Schrecengost has collaborated with scholars based in United States, India and Finland. Frequent co-authors include Karen E. Knudsen, Amy H. Bouton, Charles D. Smith, Michael S. Guerrero, Yan Zhuang, Kevin J. French, Jong K. Yun, Rebecca B. Riggins, Matthew J. Schiewer and Jonathan F. Goodwin. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and Cancer 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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