Kayla J. Temple

835 total citations · 3 hit papers
20 papers, 478 citations indexed

About

Kayla J. Temple is a scholar working on Molecular Biology, Hematology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kayla J. Temple has authored 20 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 5 papers in Hematology and 4 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kayla J. Temple's work include Receptor Mechanisms and Signaling (8 papers), Computational Drug Discovery Methods (4 papers) and Pharmacological Receptor Mechanisms and Effects (4 papers). Kayla J. Temple is often cited by papers focused on Receptor Mechanisms and Signaling (8 papers), Computational Drug Discovery Methods (4 papers) and Pharmacological Receptor Mechanisms and Effects (4 papers). Kayla J. Temple collaborates with scholars based in United States, United Kingdom and China. Kayla J. Temple's co-authors include Jodi M. Smith, Samantha Weiss, Ajay K. Israni, Jon J. Snyder, Jonathan Miller, Krista L. Lentine, Dzhuliyana Handarova, K. Bradbrook, Craig W. Lindsley and Anna L. Blobaum and has published in prestigious journals such as Biological Psychiatry, Journal of Medicinal Chemistry and Molecular Pharmacology.

In The Last Decade

Kayla J. Temple

20 papers receiving 478 citations

Hit Papers

OPTN/SRTR 2021 Annual Data Report: Kidney 2023 2026 2024 2025 2023 2024 2025 50 100 150

Peers

Kayla J. Temple
Comparison fields: 5 of 83
  • Transplantation 168
  • Surgery 118
  • Public Health, Environmental and Occupational Health 116
  • Molecular Biology 95
  • Hematology 59
Replace Bassam G. Abu Jawdeh with:
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Mamdouh Albaqumi United States
Sung Min Yoon South Korea
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Somesh Choudhury United States
Masashi Kitagawa Japan
Reo Tanoshima Japan
Dondra O'Neill United States
Bassam G. Abu Jawdeh United States View profile →
Citations per field, relative to Kayla J. Temple
Kayla J. Temple · 1×
Citations per year, relative to Kayla J. Temple
Kayla J. Temple · 1×

Countries citing papers authored by Kayla J. Temple

Since Specialization
Citations

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

Fields of papers citing papers by Kayla J. Temple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kayla J. Temple. 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 Kayla J. Temple. The network helps show where Kayla J. Temple may publish in the future.

Co-authorship network of co-authors of Kayla J. Temple

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

All Works

20 of 20 papers shown
# Work Indexed citations
1
OPTN/SRTR 2023 Annual Data Report: Kidney breakdown →
20
2 2
3 1
4
OPTN/SRTR 2022 Annual Data Report: Kidney breakdown →
81
5
OPTN/SRTR 2021 Annual Data Report: Kidney breakdown →
163
6 4
7 9
8 4
9 6
10 24
11 29
12 21
13 6
14 14
15 8
16 37
17 1
18 34
19 3
20 11

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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