Ji Lin

27 papers receiving 972 citations

Peers

Ji Lin
Comparison fields: 5 of 86
  • Endocrine and Autonomic Systems 169
  • Physiology 380
  • Biochemistry 66
  • Nutrition and Dietetics 164
  • Epidemiology 235
Replace Jennifer H. Stern with:
Jennifer H. Stern United States
Drew V. Tortoriello United States
Stephanie Pack United States
Christina Cochrane United States
Françoise Kühne Switzerland
Laurence Pessemesse France
Natalia Rudovich Germany
Norma O. Rizzo United States
Jong Han Lee South Korea
R Bazin France
Ji Lin relative to Jennifer H. Stern United States Jennifer H. Stern's profile →
Citations per field
00.5×1.5×1.9×
Jennifer H. Stern · 1×
Citations per year

Countries citing papers authored by Ji Lin

Since Specialization
Citations

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

Fields of papers citing papers by Ji Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ji Lin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ji Lin Line = papers co-authored together Ji Lin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002248
2 2006194
3 2005182
4 200153
5 200649
6 200939
7 200339
8 200331
9 200030
10 200927
11 201118
12 200313
13 200413
14 201010
15 20058
16 20077
17 20057
18 20106
19 20045
20
[Roles of leptin-mediated intracellular signaling pathways on wound healing].
20075

About Ji Lin

Ji Lin is a scholar working on Endocrine and Autonomic Systems, Epidemiology, Physiology, Nutrition and Dietetics and Molecular Biology, having authored 28 papers that have together received 998 indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (11 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Adipose Tissue and Metabolism (5 papers), Biochemical Analysis and Sensing Techniques (4 papers), Muscle Physiology and Disorders (2 papers), Dietary Effects on Health (2 papers), Sleep and Wakefulness Research (2 papers) and Hypothalamic control of reproductive hormones (1 paper). The work is most often cited by research in Endocrine and Autonomic Systems (169 citations), Physiology (380 citations), Biochemistry (66 citations), Nutrition and Dietetics (164 citations) and Epidemiology (235 citations). Ji Lin has collaborated with scholars based in China, United States and Philippines. Frequent co-authors include Mary Anne Della‐Fera, Clifton A. Baile, Hye‐Kyeong Kim, Diane L. Hartzell, M. J. Azain, Guang‐Tao Yan, George B. Rampacek, Pottumarthi V. Prasad, Robert R. Kraeling and C.R. Barb. Their work appears in journals such as Biochemical and Biophysical Research Communications, Journal of Magnetic Resonance Imaging, Peptides, World Journal of Gastroenterology and Investigative Radiology.

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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