Jin Long

3.6k total citations
117 papers, 2.3k citations indexed

About

Jin Long is a scholar working on Physiology, Nephrology and Surgery. According to data from OpenAlex, Jin Long has authored 117 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Physiology, 19 papers in Nephrology and 14 papers in Surgery. Recurrent topics in Jin Long's work include Nutrition and Health in Aging (16 papers), Body Composition Measurement Techniques (11 papers) and Dialysis and Renal Disease Management (9 papers). Jin Long is often cited by papers focused on Nutrition and Health in Aging (16 papers), Body Composition Measurement Techniques (11 papers) and Dialysis and Renal Disease Management (9 papers). Jin Long collaborates with scholars based in United States, China and Canada. Jin Long's co-authors include Mary B. Leonard, Glenn M. Chertow, Ricardo V. Lloyd, Joshua F. Baker, Babette S. Zemel, Daniel L. Rubin, Rikiya Yamashita, Yuanchao Zheng, Samuel A. Silver and Jeanne Shen and has published in prestigious journals such as Journal of the American Chemical Society, Angewandte Chemie International Edition and Circulation.

In The Last Decade

Jin Long

104 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jin Long United States 27 441 365 290 276 272 117 2.3k
Jun Ying United States 30 299 0.7× 139 0.4× 548 1.9× 230 0.8× 235 0.9× 104 3.0k
Seung Seok Han South Korea 28 1.0k 2.4× 355 1.0× 389 1.3× 101 0.4× 114 0.4× 185 2.9k
Joachim Gerß Germany 35 1.1k 2.6× 104 0.3× 858 3.0× 221 0.8× 325 1.2× 154 4.8k
Myoung‐jin Jang South Korea 24 58 0.1× 251 0.7× 422 1.5× 94 0.3× 261 1.0× 110 2.2k
Helen Keen Australia 33 629 1.4× 204 0.6× 996 3.4× 121 0.4× 182 0.7× 157 4.1k
Enrique R. Soriano Argentina 29 120 0.3× 232 0.6× 256 0.9× 121 0.4× 153 0.6× 193 4.0k
Jehad Almasri United States 22 100 0.2× 145 0.4× 644 2.2× 263 1.0× 138 0.5× 43 2.8k
Christopher J Edwards United Kingdom 36 225 0.5× 224 0.6× 664 2.3× 237 0.9× 205 0.8× 168 4.3k
Takashi Ashikaga Japan 22 83 0.2× 211 0.6× 470 1.6× 168 0.6× 192 0.7× 141 2.3k
Christopher J. Swearingen United States 28 144 0.3× 208 0.6× 450 1.6× 111 0.4× 111 0.4× 110 3.1k

Countries citing papers authored by Jin Long

Since Specialization
Citations

This map shows the geographic impact of Jin Long'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 Jin Long with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Long more than expected).

Fields of papers citing papers by Jin Long

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jin Long. 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 Jin Long. The network helps show where Jin Long may publish in the future.

Co-authorship network of co-authors of Jin Long

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

All Works

20 of 20 papers shown
1.
Ding, Ning, Mengjuan Li, Yi Zhang, et al.. (2025). Multi-model radiomics and machine learning for differentiating lipid-poor adrenal adenomas from metastases using automatic segmentation. Frontiers in Oncology. 15. 1619341–1619341.
2.
Long, Jin, Thomas L. Nickolas, Shaun Bender, et al.. (2025). Corticosteroid, Parathyroid Hormone, and Body Composition Associations With Bone Density and Structure Following Kidney Transplantation. American Journal of Kidney Diseases. 87(3). 298–312.e1.
3.
Long, Jin, Ying Tang, Ziqiang Yu, et al.. (2024). Detection of C-shaped mandibular second molars on panoramic radiographs using deep convolutional neural networks. Clinical Oral Investigations. 28(12). 646–646. 2 indexed citations
4.
5.
Huang, Ngan F., Shahmir H. Ali, Robert J. Huang, et al.. (2024). Prevalence and Risk Factors for Presarcopenia among Young and Middle-aged Asian Americans: A Cross-Sectional Study using NHANES data. 4(1). 1 indexed citations
6.
7.
Long, Jin, et al.. (2024). Detection of three-rooted mandibular first molars on panoramic radiographs using deep learning. Scientific Reports. 14(1). 30392–30392.
8.
Leonard, Mary B., et al.. (2023). Cystatin C and Creatinine Concentrations Are Uninformative Biomarkers of Sarcopenia: A Cross-Sectional NHANES Study. Journal of Renal Nutrition. 33(4). 538–545. 5 indexed citations
9.
Long, Jin, et al.. (2023). CTLA4-Ig protects tacrolimus-induced oxidative stress via inhibiting the AKT/FOXO3 signaling pathway in rats. The Korean Journal of Internal Medicine. 38(3). 393–405. 2 indexed citations
10.
Li, Taihua, et al.. (2023). Assembly strategies for polyethylene-degrading microbial consortia based on the combination of omics tools and the “Plastisphere”. Frontiers in Microbiology. 14. 1181967–1181967. 22 indexed citations
11.
Baker, Joshua F., David R. Weber, Tuhina Neogi, et al.. (2022). Associations Between Low Serum Urate, Body Composition, and Mortality. Arthritis & Rheumatology. 75(1). 133–140. 18 indexed citations
12.
Cui, Chuanjian, Ziqi Wei, Qi Chen, et al.. (2022). 1H NMR-based metabolomic approach combined with machine learning algorithm to distinguish the geographic origin of huajiao (Zanthoxylum bungeanum Maxim.). Food Control. 145. 109476–109476. 19 indexed citations
13.
Yamashita, Rikiya, et al.. (2021). Learning Domain-Agnostic Visual Representation for Computational Pathology Using Medically-Irrelevant Style Transfer Augmentation. IEEE Transactions on Medical Imaging. 40(12). 3945–3954. 40 indexed citations
14.
Long, Jin, et al.. (2020). Trabecular Bone Score (TBS) Varies with Correction for Tissue Thickness Versus Body Mass Index: Implications When Using Pediatric Reference Norms. Journal of Bone and Mineral Research. 38(4). 493–498. 4 indexed citations
15.
Leonard, Mary B., Félix W. Wehrli, Jin Long, et al.. (2019). A multi-imaging modality study of bone density, bone structure and the muscle - bone unit in end-stage renal disease. Bone. 127. 271–279. 13 indexed citations
16.
Gan, Lu, Aobo Geng, Jin Long, et al.. (2019). Antibacterial nanocomposite based on carbon nanotubes–silver nanoparticles-co-doped polylactic acid. Polymer Bulletin. 77(2). 793–804. 25 indexed citations
17.
Nagata, Jason M., Neville H. Golden, Rebecka Peebles, et al.. (2017). Assessment of Sex Differences in Body Composition Among Adolescents With Anorexia Nervosa. Journal of Adolescent Health. 60(4). 455–459. 20 indexed citations
18.
Baker, Joshua F., Jon T. Giles, David R. Weber, et al.. (2017). Assessment of muscle mass relative to fat mass and associations with physical functioning in rheumatoid arthritis. Lara D. Veeken. 56(6). 981–988. 27 indexed citations
19.
Kenyon, Chén C., et al.. (2016). Electronic Adherence Monitoring in a High-Utilizing Pediatric Asthma Cohort: A Feasibility Study. JMIR Research Protocols. 5(2). e132–e132. 19 indexed citations
20.
Lloyd, Ricardo V. & Jin Long. (1995). In Situ Hybridization Analysis of Chromogranin A and B mRNAs in Neuroendocrine Tumors with Digoxigenin-Labeled Oligonucleotide Probe Cocktails. Diagnostic Molecular Pathology. 4(2). 143–151. 34 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Jun Ying Breakdown of academic impact, for papers by Seung Seok Han Breakdown of academic impact, for papers by Joachim Gerß Breakdown of academic impact, for papers by Myoung‐jin Jang Breakdown of academic impact, for papers by Helen Keen Breakdown of academic impact, for papers by Enrique R. Soriano Breakdown of academic impact, for papers by Jehad Almasri Breakdown of academic impact, for papers by Christopher J Edwards Breakdown of academic impact, for papers by Takashi Ashikaga Breakdown of academic impact, for papers by Christopher J. Swearingen
Rankless by CCL
2026