Jitong Lou

573 total citations · 1 hit paper
8 papers, 377 citations indexed

About

Jitong Lou is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Pharmacology. According to data from OpenAlex, Jitong Lou has authored 8 papers receiving a total of 377 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Pharmacology. Recurrent topics in Jitong Lou's work include Pharmacology and Obesity Treatment (2 papers), Diabetes Treatment and Management (2 papers) and T-cell and B-cell Immunology (2 papers). Jitong Lou is often cited by papers focused on Pharmacology and Obesity Treatment (2 papers), Diabetes Treatment and Management (2 papers) and T-cell and B-cell Immunology (2 papers). Jitong Lou collaborates with scholars based in United States, China and Japan. Jitong Lou's co-authors include Juan P. Frías, Sirel Gurbuz, Mark L. Hartman, Ania M. Jastreboff, Melissa K. Thomas, Yu Du, Axel Haupt, Zvonko Miličević, Julio Rosenstock and Tamer Coskun and has published in prestigious journals such as The Lancet, Journal of Clinical Investigation and Immunity.

In The Last Decade

Jitong Lou

8 papers receiving 372 citations

Hit Papers

Retatrutide, a GIP, GLP-1 and glucagon receptor agonist, ... 2023 2026 2024 2025 2023 50 100 150 200

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jitong Lou United States 4 184 122 108 105 80 8 377
Husam Ghanim United States 9 223 1.2× 140 1.1× 37 0.3× 79 0.8× 53 0.7× 13 448
Ryuji Kouyama Japan 6 94 0.5× 60 0.5× 26 0.2× 116 1.1× 58 0.7× 7 324
Hideki Kushima Japan 11 251 1.4× 142 1.2× 26 0.2× 42 0.4× 40 0.5× 25 408
Valeria Burghi Argentina 11 116 0.6× 129 1.1× 64 0.6× 70 0.7× 33 0.4× 14 350
Ines Cilenšek Slovenia 10 67 0.4× 150 1.2× 23 0.2× 56 0.5× 29 0.4× 28 354
James S. Gilmour United Kingdom 6 261 1.4× 40 0.3× 57 0.5× 45 0.4× 51 0.6× 6 360
Qiangyou Wan China 9 41 0.2× 141 1.2× 38 0.4× 31 0.3× 52 0.7× 13 321
Emilia Ottosson-Laakso Sweden 8 154 0.8× 233 1.9× 21 0.2× 64 0.6× 49 0.6× 11 492
Hangxiang Zhang China 8 40 0.2× 157 1.3× 36 0.3× 71 0.7× 58 0.7× 10 380
Lin Yue China 11 120 0.7× 143 1.2× 19 0.2× 70 0.7× 14 0.2× 21 296

Countries citing papers authored by Jitong Lou

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Jitong Lou

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

All Works

8 of 8 papers shown
1.
Hartman, Mark L., Jitong Lou, Qiwei Wu, et al.. (2024). 266-OR: Retatrutide, an Agonist of GIP, GLP-1, and Glucagon Receptors, Improves Markers of Pancreatic Beta-Cell Function and Insulin Sensitivity. Diabetes. 73(Supplement_1). 1 indexed citations
2.
Lou, Jitong, Mallikarjuna Rettiganti, & Yongming Qu. (2024). Direct Estimation for Commonly Used Pattern-Mixture Models in Clinical Trials. Statistics in Biopharmaceutical Research. 17(3). 404–416. 1 indexed citations
3.
Rosenstock, Julio, Juan P. Frías, Ania M. Jastreboff, et al.. (2023). 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. The Lancet. 402(10401). 529–544. 232 indexed citations breakdown →
4.
Lou, Jitong, Yuanjia Wang, Lang Li, & Donglin Zeng. (2021). Learning latent heterogeneity for type 2 diabetes patients using longitudinal health markers in electronic health records. Statistics in Medicine. 40(8). 1930–1946. 1 indexed citations
5.
Lou, Jitong, Yang Yang, Qisheng Gu, et al.. (2021). Rad18 mediates specific mutational signatures and shapes the genomic landscape of carcinogen-induced tumorsin vivo. NAR Cancer. 3(1). zcaa037–zcaa037. 11 indexed citations
6.
Guo, Zengli, Gang Wang, Bing Wu, et al.. (2020). DCAF1 regulates Treg senescence via the ROS axis during immunological aging. Journal of Clinical Investigation. 130(11). 5893–5908. 117 indexed citations
7.
Wu, Bing, Song Zhang, Zengli Guo, et al.. (2018). RAS P21 Protein Activator 3 (RASA3) Specifically Promotes Pathogenic T Helper 17 Cell Generation by Repressing T-Helper-2-Cell-Biased Programs. Immunity. 49(5). 886–898.e5. 13 indexed citations
8.
Lou, Jitong, et al.. (2013). Evaluation of China’s Financial Risk Using Projection Pursuit Clustering Model and Its Positive Research. Journal of Economics Business and Management. 139–146. 1 indexed citations

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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