Kevin L. Lorick

2.8k citations
13 papers · 2.3k indexed · 2 hit papers · h-index 12
Topics
Ubiquitin and proteasome pathways (8 papers)Cancer-related Molecular Pathways (5 papers)interferon and immune responses (2 papers)

In The Last Decade

Kevin L. Lorick

13 papers receiving 2.3k citations

Hit Papers

RING fingers mediate ubiquitin-conjugating enzyme (E2)-de...199920262008201719992003250500750

Peers

Kevin L. Lorick
Comparison fields: 5 of 90
  • Molecular Biology 2.0k
  • Cell Biology 521
  • Oncology 432
  • Genetics 341
  • Epidemiology 254
Replace Timothy C. Grammer with:
Timothy C. Grammer United States
Tamara A. Ranalli United States
Georges Calothy France
Peggy S. Zelenka United States
Wang L. Cheung United States
Marian A. Martínez‐Balbás Spain
Marcus Schuermann Germany
Eduardo M. Torres United States
Nancy A. Dower Canada
Ian J. Donaldson United Kingdom
Kevin L. Lorick relative to Timothy C. Grammer United States Timothy C. Grammer's profile →
Citations per field
00.5×1.5×1.8×
Timothy C. Grammer · 1×
Citations per year

Countries citing papers authored by Kevin L. Lorick

Since Specialization
Citations

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

Fields of papers citing papers by Kevin L. Lorick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kevin L. Lorick

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

All Works

13 of 13 papers shown
#WorkIndexed citations
1 11
2 372
3 35
4 6
5 57
6 18
7 13
8 21
9 46
10
Mind Bomb Is a Ubiquitin Ligase that Is Essential for Efficient Activation of Notch Signaling by Deltabreakdown →
643
11 111
12
RING fingers mediate ubiquitin-conjugating enzyme (E2)-dependent ubiquitinationbreakdown →
941
13 34

About Kevin L. Lorick

Kevin L. Lorick is a scholar working on Oncology, Developmental Neuroscience and Cancer Research, having authored 13 papers that have together received 2.3k indexed citations. Recurring topics across this work include Ubiquitin and proteasome pathways (8 papers), Cancer-related Molecular Pathways (5 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Cell Biology (521 citations), Molecular Biology (2.0k citations) and Developmental Neuroscience (73 citations). Kevin L. Lorick has collaborated with scholars based in United States, Japan and United Kingdom. Frequent co-authors include Allan M. Weissman, Jane P. Jensen, Shengyun Fang, Shigetsugu Hatakeyama, Albert M. Ong, Gavin J. Wright, Julian Lewis, Ajay Chitnis, Motoyuki Itoh and Cheol‐Hee Kim. Their work appears in journals such as Proceedings of the National Academy of Sciences, Cancer Research and Oncogene.

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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