Cameron T. Locklear

656 citations
7 papers · 550 · h-index 6

Impact in

  • Hepatology top 5%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
  • Epidemiology top 10%
    • Liver Disease Diagnosis and Treatment

Papers in

    • Liver Disease and Transplantation 1
    • Hepatocellular Carcinoma Treatment and Prognosis 1
    • Liver Disease Diagnosis and Treatment 3

Cameron T. Locklear

6 papers receiving 542 citations

Peers

Cameron T. Locklear
Comparison fields: 5 of 52
  • Hepatology 150
  • Epidemiology 289
  • Geriatrics and Gerontology 4
  • Cancer Research 14
  • Oncology 23
Replace Riko Tsuji with:
Riko Tsuji Japan
Preethy Parthiban United States
Danny Issa United States
Delphine Weil France
Sawako Kobayashi Japan
Denise van der Graaff Belgium
Shirley Ho-Ting Chu Hong Kong
Kshaunish Das India
Federica Spatola Italy
Shen‐Wen Fu China
Cameron T. Locklear relative to Riko Tsuji Japan Riko Tsuji's profile →
Citations per field
00.5×2×4×6×8×9.2×
Riko Tsuji · 1×
Citations per year

Countries citing papers authored by Cameron T. Locklear

Since Specialization
Citations

This map shows the geographic impact of Cameron T. Locklear'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 Cameron T. Locklear with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cameron T. Locklear more than expected).

Fields of papers citing papers by Cameron T. Locklear

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cameron T. Locklear. 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 Cameron T. Locklear. The network helps show where Cameron T. Locklear may publish in the future.

Co-authors

The 24 scholars most cited alongside Cameron T. Locklear, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Cameron T. Locklear Line = papers co-authored together Cameron T. Locklear links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 2017211
2 2016146
3 2018108
4 201861
5 201817
6 20137
7 20170

About Cameron T. Locklear

Cameron T. Locklear is a scholar working on Hepatology, Epidemiology, Complementary and alternative medicine, Endocrinology, Diabetes and Metabolism and Oncology, having authored 7 papers that have together received 550 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (3 papers), Liver Disease and Transplantation (1 paper), Organ Transplantation Techniques and Outcomes (1 paper), Cardiovascular and exercise physiology (1 paper), Growth Hormone and Insulin-like Growth Factors (1 paper), Hepatocellular Carcinoma Treatment and Prognosis (1 paper) and Colorectal Cancer Screening and Detection (1 paper). The work is most often cited by research in Hepatology (150 citations), Epidemiology (289 citations), Geriatrics and Gerontology (4 citations), Cancer Research (14 citations) and Oncology (23 citations). Cameron T. Locklear has collaborated with scholars based in United States. Frequent co-authors include Pegah Golabi, Zobair M. Younossi, Munkhzul Otgonsuren, Mehmet Sayıner, Lynn H. Gerber, Patrick W. Austin, Natsu Fukui, James M. Paik, Ira M. Jacobson and Maria Stepanova. Their work appears in journals such as Medicine, Gastroenterology, World Journal of Gastroenterology, Clinical Diabetes and PubMed.

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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