Linu M. John
Impact in
- Molecular Biology top 10%
- Fibroblast Growth Factor Research
- Kruppel-like factors research
- Epigenetics and DNA Methylation
Papers in
-
- Regulation of Appetite and Obesity 8
-
- Neuropeptides and Animal Physiology 6
- Neuroscience and Neuropharmacology Research 2
- Co-authors
- James D. LechleiterPatricia CamachoLing FuMark RenzElizabeth TomlinsonTimothy A. StewartXiaojian HuangDorothy French
- Journals
- The Journal of Cell Biology (2 papers)Endocrinology (2 papers)Endocrine Connections (1 paper)European Journal of Neuroscience (1 paper)Cell Reports (1 paper)
- Partner nations
- DenmarkUnited StatesSwitzerland
In The Last Decade
Linu M. John
21 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 88
- Endocrine and Autonomic Systems 114
- Molecular Biology 966
- Cell Biology 174
- Physiology 275
- Endocrinology, Diabetes and Metabolism 173
Countries citing papers authored by Linu M. John
This map shows the geographic impact of Linu M. John'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 Linu M. John with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linu M. John more than expected).
Fields of papers citing papers by Linu M. John
This network shows the impact of papers produced by Linu M. John. 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 Linu M. John. The network helps show where Linu M. John may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Linu M. John, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 5 | |
| 2 | 2024 | 6 | |
| 3 | 2023 | 7 | |
| 4 | 2022 | 78 | |
| 5 | 2022 | 23 | |
| 6 | 2022 | 7 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 27 | |
| 10 | 2020 | 71 | |
| 11 | 2020 | 27 | |
| 12 | 2019 | 37 | |
| 13 | 2004 | 481 | |
| 14 | 2004 | 35 | |
| 15 | 2002 | 479 | |
| 16 | 2001 | 24 | |
| 17 | 1998 | 47 | |
| 18 | 1998 | 177 | |
| 19 | Thyroid function in non insulin dependent diabetes mellitus. | 1985 | 1 |
| 20 | Plasma cortisol level in normal Indian subjects and its variation in disease. | 1972 | 1 |
About Linu M. John
Linu M. John is a scholar working on Endocrine and Autonomic Systems, Cellular and Molecular Neuroscience, Behavioral Neuroscience, Physiology and Endocrinology, Diabetes and Metabolism, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (8 papers), Neuropeptides and Animal Physiology (6 papers), Adipose Tissue and Metabolism (4 papers), Fibroblast Growth Factor Research (3 papers), Epigenetics and DNA Methylation (3 papers), Diabetes Treatment and Management (3 papers), Neuroscience and Neuropharmacology Research (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (114 citations), Molecular Biology (966 citations), Cell Biology (174 citations), Physiology (275 citations) and Endocrinology, Diabetes and Metabolism (173 citations). Linu M. John has collaborated with scholars based in Denmark, United States and Switzerland. Frequent co-authors include James D. Lechleiter, Patricia Camacho, Ling Fu, Mark Renz, Elizabeth Tomlinson, Timothy A. Stewart, Xiaojian Huang, Dorothy French, Lyn Powell-Braxton and Bruce D. Hultgren. Their work appears in journals such as The Journal of Cell Biology, Endocrinology, Endocrine Connections, European Journal of Neuroscience and Cell 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.