Can Jin

1.9k citations
57 papers · 1.3k · h-index 18

Impact in

Papers in

    • Calcium Carbonate Crystallization and Inhibition 18
    • Extracellular vesicles in disease 7
    • Fungal and yeast genetics research 4
    • Mitochondrial Function and Pathology 3
    • Photosynthetic Processes and Mechanisms 3

Can Jin

52 papers receiving 1.3k citations

Peers

Can Jin
Comparison fields: 5 of 119
  • Behavioral Neuroscience 95
  • Biomaterials 170
  • Paleontology 77
  • Endocrine and Autonomic Systems 71
  • Molecular Biology 639
Replace Yun Liu with:
Yun Liu China
Enrique Leo Portiansky Argentina
Kunio Nakashima Japan
A. Belcourt France
Zehava Levy Israel
Sara Neuman Israel
Barbara A. Demeneix France
Koyomi Miyazaki Japan
Kyoko Miura Japan
Gerald B. Call United States
Can Jin relative to Yun Liu China Yun Liu's profile →
Citations per field
00.5×4.0×
Yun Liu · 1×
Citations per year

Countries citing papers authored by Can Jin

Since Specialization
Citations

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

Fields of papers citing papers by Can Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002297
2 1986149
3 1997106
4 199794
5
Human umbilical cord mesenchymal stem cells and exosomes: bioactive ways of tissue injury repair.
201980
6 200743
7 201434
8 201334
9 202233
10 202232
11 202132
12 199724
13 202024
14 201922
15 201921
16 200620
17 201520
18 202018
19 202415
20 200715

About Can Jin

Can Jin is a scholar working on Biomaterials, Molecular Biology, Paleontology, Biomedical Engineering and Pulmonary and Respiratory Medicine, having authored 57 papers that have together received 1.3k indexed citations. Recurring topics across this work include Calcium Carbonate Crystallization and Inhibition (18 papers), Paleontology and Stratigraphy of Fossils (15 papers), Bone Tissue Engineering Materials (14 papers), Extracellular vesicles in disease (7 papers), Fungal and yeast genetics research (4 papers), Mitochondrial Function and Pathology (3 papers), MicroRNA in disease regulation (3 papers) and Photosynthetic Processes and Mechanisms (3 papers). The work is most often cited by research in Behavioral Neuroscience (95 citations), Biomaterials (170 citations), Paleontology (77 citations), Endocrine and Autonomic Systems (71 citations) and Molecular Biology (639 citations). Can Jin has collaborated with scholars based in China, United States and Canada. Frequent co-authors include John C. Reed, Alexander Tzagoloff, D. Moira Glerum, Xiaojun Liu, Hui Qian, Jiale Li, Peipei Wu, Jean M. Lauder, Victor Han and Andrew C. Towle. Their work appears in journals such as International Journal of Biological Macromolecules, Marine Biotechnology, Aquaculture and Fisheries, Journal of Biological Chemistry and Biotechnology and Applied Biochemistry.

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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