Lan Jin

36 papers receiving 2k citations

Lan Jin's Hit Papers

College life is stressful today – Emerging stressors and depressive symptoms in college students 2018 · 317 citations
3170+2+5Years since publication100200300

Peers

Lan Jin
Comparison fields: 5 of 126
  • Developmental Neuroscience 106
  • Biochemistry 85
  • Geriatrics and Gerontology 47
  • Physiology 312
  • Cell Biology 159
Replace Velia D’Agata with:
Velia D’Agata Italy
Philip Poronnik Australia
Mark E. Gurney United States
Pei‐Chun Chen Taiwan
Sarah H. Elsea United States
Mario G. Mirisola Italy
Marino De León United States
Susan E. Browne United States
Katrin Arnold Germany
Donna Lynn Smith United States
Lan Jin relative to Velia D’Agata Italy Velia D’Agata's profile →
Citations per field
00.5×2×4×5.7×
Velia D’Agata · 1×
Citations per year

Countries citing papers authored by Lan Jin

Since Specialization
Citations

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

Fields of papers citing papers by Lan Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Lan Jin, 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 Lan Jin Line = papers co-authored together Lan Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005576
2
College life is stressful today – Emerging stressors and depressive symptoms in college students
Hit paper breakdown →
2018317
3 2008254
4 2011207
5 2002188
6 2012113
7 199757
8 199640
9 200539
10 199737
11 200930
12 199927
13 201023
14 201223
15 202222
16 201520
17 201317
18 201317
19 201512
20 202112

About Lan Jin

Lan Jin is a scholar working on Communication, Biochemistry, Genetics, Developmental Neuroscience and Geriatrics and Gerontology, having authored 38 papers that have together received 2.1k indexed citations. Recurring topics across this work include International Student and Expatriate Challenges (12 papers), Adipose Tissue and Metabolism (3 papers), Coagulation, Bradykinin, Polyphosphates, and Angioedema (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Lipid metabolism and biosynthesis (2 papers), Sirtuins and Resveratrol in Medicine (2 papers), Neurogenesis and neuroplasticity mechanisms (2 papers) and Drug Solubulity and Delivery Systems (1 paper). The work is most often cited by research in Developmental Neuroscience (106 citations), Biochemistry (85 citations), Geriatrics and Gerontology (47 citations), Physiology (312 citations) and Cell Biology (159 citations). Lan Jin has collaborated with scholars based in United States, China and United Kingdom. Frequent co-authors include Lalatendu Acharya, William Bart Collins, Ning Ren, Tian‐Quan Cai, Samuel D. Wright, Andrew K.P. Taggart, M. Gerard Waters, Ruoping Chen, Kang Cheng and Ronald D. Vale. Their work appears in journals such as Human Gene Therapy, Journal of International Students, Science Translational Medicine, Health Communication and International Journal of Pharmaceutics.

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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