Jennifer Pocas

524 citations
15 papers · 458 indexed · h-index 13
Topics
Protein Kinase Regulation and GTPase Signaling (11 papers)Melanoma and MAPK Pathways (7 papers)Synthesis and biological activity (4 papers)
Partner nations
United States

In The Last Decade

Jennifer Pocas

15 papers receiving 452 citations

Peers

Jennifer Pocas
Comparison fields: 5 of 57
  • Molecular Biology 309
  • Organic Chemistry 188
  • Computational Theory and Mathematics 79
  • Ophthalmology 33
  • Pharmacology 31
Replace E. Hampton Sessions with:
E. Hampton Sessions United States
Emma Baglini Italy
Sravani Pulya India
Eleni Gourzoulidou Germany
Masami Shiratsuchi Japan
Shihua Xu China
Tom R. Dean United States
Nicolas Soldermann Switzerland
Andrew P. Montgomery Australia
Jennifer Lafontaine United States
Jennifer Pocas relative to E. Hampton Sessions United States E. Hampton Sessions's profile →
Citations per field
00.5×2.5×
E. Hampton Sessions · 1×
Citations per year

Countries citing papers authored by Jennifer Pocas

Since Specialization
Citations

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

Fields of papers citing papers by Jennifer Pocas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jennifer Pocas. 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 Jennifer Pocas. The network helps show where Jennifer Pocas may publish in the future.

Co-authorship network of co-authors of Jennifer Pocas

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 13
2 34
3 27
4 38
5 19
6 20
7 13
8 39
9 51
10 5
11 40
12 82
13 34
14 6
15 37

About Jennifer Pocas

Jennifer Pocas is a scholar working on Organic Chemistry, Molecular Biology and Cell Biology, having authored 15 papers that have together received 458 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (11 papers), Melanoma and MAPK Pathways (7 papers) and Synthesis and biological activity (4 papers). The work is most often cited by research in Organic Chemistry (188 citations), Computational Theory and Mathematics (79 citations) and Molecular Biology (309 citations). Jennifer Pocas has collaborated with scholars based in United States. Frequent co-authors include Philip V. LoGrasso, Thomas Schröter, Michael D. Cameron, Claudia Ruiz, Yan Yin, Yangbo Feng, Wayne Grant, Lin Li, Stephan C. Schürer and Thomas D. Bannister. Their work appears in journals such as Journal of Biological Chemistry, Analytical Biochemistry and FEBS Letters.

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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