Patricia Kent

489 citations
19 papers · 399 indexed · h-index 11
Topics
Growth Hormone and Insulin-like Growth Factors (6 papers)Receptor Mechanisms and Signaling (3 papers)Erythrocyte Function and Pathophysiology (2 papers)
Partner nations
United StatesCanadaIndia

In The Last Decade

Patricia Kent

18 papers receiving 389 citations

Peers

Patricia Kent
Comparison fields: 5 of 84
  • Endocrinology, Diabetes and Metabolism 84
  • Hematology 75
  • Neuropsychology and Physiological Psychology 49
  • Health 48
  • Molecular Biology 45
Replace Yi-Huei Chen with:
Yi-Huei Chen Taiwan
Jinlei Li China
Ashley B. Petrone United States
Inmaculada Fuentes-Durá Spain
Jasmin Ghaemi Kerahrodi Germany
Erin Joyce United States
Yan Lan China
Tadhg Stapleton Ireland
Tzu‐Ting Chen Taiwan
Manuela Costa Brazil
Patricia Kent relative to Yi-Huei Chen Taiwan Yi-Huei Chen's profile →
Citations per field
00.5×10×12.5×
Yi-Huei Chen · 1×
Citations per year

Countries citing papers authored by Patricia Kent

Since Specialization
Citations

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

Fields of papers citing papers by Patricia Kent

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patricia Kent

This figure shows the co-authorship network connecting the top 25 collaborators of Patricia Kent. A scholar is included among the top collaborators of Patricia Kent 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 Patricia Kent. Patricia Kent 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
Responsabilidad Social Universitaria: una mirada endógena
0
2 4
3 26
4 10
5 10
6 11
7 13
8 86
9 59
10 42
11 56
12 22
13 11
14 6
15 9
16 12
17 14
18 2
19 6

About Patricia Kent

Patricia Kent is a scholar working on Neuropsychology and Physiological Psychology, Endocrinology, Diabetes and Metabolism and Endocrine and Autonomic Systems, having authored 19 papers that have together received 399 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (6 papers), Receptor Mechanisms and Signaling (3 papers) and Erythrocyte Function and Pathophysiology (2 papers). The work is most often cited by research in Neuropsychology and Physiological Psychology (49 citations), Hematology (75 citations) and Health (48 citations). Patricia Kent has collaborated with scholars based in United States, Canada and India. Frequent co-authors include Mary A. Luszcz, Janet Bryan, Max E. Stachura, Jed B. Gorlin, Sherwin V. Kevy, Kevin B. Churchwell, Wendy B. Bollag, Michael L. McManus, Roberto A. Calle and Paul Farmer. Their work appears in journals such as Analytical Biochemistry, Endocrinology and Psychology and Aging.

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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