John Lane
Impact in
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
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- Pituitary Gland Disorders and Treatments
Papers in
-
- Mitochondrial Function and Pathology 5
- Metabolomics and Mass Spectrometry Studies 3
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- Pituitary Gland Disorders and Treatments 8
- Co-authors
- Nathan Pankratz (25 shared papers)Dan E. Arking (7 shared papers)Eric Boerwinkle (4 shared papers)Megan L. Grove (4 shared papers)Eliseo Güallar (6 shared papers)Josef Coresh (3 shared papers)Foram N. Ashar (3 shared papers)Ryan J. Longchamps (5 shared papers)
- Journals
- The Journal of Clinical Endocrinology & Metabolism (3 papers)PLoS ONE (3 papers)Cancer (1 paper)Human Genetics and Genomics Advances (1 paper)Scientific Reports (1 paper)
- Partner nations
- United StatesFranceGreece
In The Last Decade
John Lane
24 papers receiving 773 citations
Peers
Comparison fields: 5 of 77
- Clinical Biochemistry 173
- Endocrinology, Diabetes and Metabolism 179
- Genetics 68
- Molecular Biology 409
- Aging 7
Countries citing papers authored by John Lane
This map shows the geographic impact of John Lane'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 John Lane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Lane more than expected).
Fields of papers citing papers by John Lane
This network shows the impact of papers produced by John Lane. 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 John Lane. The network helps show where John Lane may publish in the future.
Co-authors
The 25 scholars most cited alongside John Lane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 208 | |
| 2 | 2016 | 93 | |
| 3 | 2020 | 86 | |
| 4 | 2017 | 75 | |
| 5 | 2017 | 66 | |
| 6 | 2018 | 42 | |
| 7 | 2017 | 39 | |
| 8 | 2020 | 32 | |
| 9 | 1989 | 23 | |
| 10 | 2020 | 22 | |
| 11 | 2018 | 21 | |
| 12 | 2020 | 12 | |
| 13 | 2020 | 11 | |
| 14 | 2019 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2022 | 8 | |
| 17 | 2022 | 5 | |
| 18 | 2023 | 4 | |
| 19 | 2022 | 4 | |
| 20 | 2019 | 3 |
About John Lane
John Lane is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine and Clinical Biochemistry, having authored 26 papers that have together received 779 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (8 papers), Mitochondrial Function and Pathology (5 papers), Metabolism and Genetic Disorders (4 papers), Adrenal and Paraganglionic Tumors (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Cardiovascular Function and Risk Factors (2 papers), Telomeres, Telomerase, and Senescence (2 papers) and Cancer, Hypoxia, and Metabolism (2 papers). The work is most often cited by research in Clinical Biochemistry (173 citations), Endocrinology, Diabetes and Metabolism (179 citations), Genetics (68 citations), Molecular Biology (409 citations) and Aging (7 citations). John Lane has collaborated with scholars based in United States, France and Greece. Frequent co-authors include Nathan Pankratz, Dan E. Arking, Eric Boerwinkle, Megan L. Grove, Eliseo Güallar, Josef Coresh, Foram N. Ashar, Ryan J. Longchamps, Jerome I. Rotter and Kent D. Taylor. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, PLoS ONE, Cancer, Human Genetics and Genomics Advances and Scientific Reports.
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.