Jitong Lou
Impact in
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- Diabetes Treatment and Management
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- Pharmacology and Obesity Treatment
Papers in
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- DNA Repair Mechanisms 1
- Genomics, phytochemicals, and oxidative stress 1
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- Diabetes Treatment and Management 2
- Co-authors
- Sirel Gurbuz (2 shared papers)Juan P. Frías (1 shared paper)Julio Rosenstock (1 shared paper)Melissa K. Thomas (2 shared papers)Yu Du (2 shared papers)Ania M. Jastreboff (2 shared papers)Mark L. Hartman (3 shared papers)Tamer Coskun (1 shared paper)
- Journals
- Nature Medicine (1 paper)Diabetes Obesity and Metabolism (1 paper)Diabetes (1 paper)The Lancet (1 paper)Journal of Clinical Investigation (1 paper)
- Partner nations
- United StatesChinaGermany
In The Last Decade
Jitong Lou
8 papers receiving 406 citations
Jitong Lou's Hit Papers
Peers
Comparison fields: 5 of 72
- Endocrinology, Diabetes and Metabolism 182
- Pharmacology 76
- Immunology 77
- Physiology 83
- Endocrine and Autonomic Systems 14
Countries citing papers authored by Jitong Lou
This map shows the geographic impact of Jitong Lou'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 Jitong Lou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jitong Lou more than expected).
Fields of papers citing papers by Jitong Lou
This network shows the impact of papers produced by Jitong Lou. 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 Jitong Lou. The network helps show where Jitong Lou may publish in the future.
Co-authors
The 25 scholars most cited alongside Jitong Lou, 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 | Retatrutide, a GIP, GLP-1 and glucagon receptor agonist, for people with type 2 diabetes: a randomised, double-blind, placebo and active-controlled, parallel-group, phase 2 trial conducted in the USA Hit paper breakdown → | 2023 | 256 |
| 2 | 2020 | 124 | |
| 3 | 2018 | 15 | |
| 4 | 2021 | 11 | |
| 5 | 2021 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2013 | 1 | |
| 9 | 2025 | 0 | |
| 10 | 2026 | 0 |
About Jitong Lou
Jitong Lou is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism, Oncology, Artificial Intelligence and Immunology, having authored 10 papers that have together received 410 indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (2 papers), Diabetes Treatment and Management (2 papers), Immune Cell Function and Interaction (2 papers), DNA Repair Mechanisms (1 paper), Cancer Genomics and Diagnostics (1 paper), Obstructive Sleep Apnea Research (1 paper), Genomics, phytochemicals, and oxidative stress (1 paper) and Machine Learning in Healthcare (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (182 citations), Pharmacology (76 citations), Immunology (77 citations), Physiology (83 citations) and Endocrine and Autonomic Systems (14 citations). Jitong Lou has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Sirel Gurbuz, Juan P. Frías, Julio Rosenstock, Melissa K. Thomas, Yu Du, Ania M. Jastreboff, Mark L. Hartman, Tamer Coskun, Zvonko Miličević and Axel Haupt. Their work appears in journals such as Nature Medicine, Diabetes Obesity and Metabolism, Diabetes, The Lancet and Journal of Clinical Investigation.
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.