Jin Yu

1.6k citations
50 papers · 1.2k indexed · 1 hit paper · h-index 19
Topics
Glycosylation and Glycoproteins Research (19 papers)Carbohydrate Chemistry and Synthesis (14 papers)Catalytic C–H Functionalization Methods (8 papers)

In The Last Decade

Jin Yu

49 papers receiving 1.2k citations

Hit Papers

The mucin-selective protease StcE enables molecular and f...2019202620212023201950100150

Peers

Jin Yu
Comparison fields: 5 of 77
  • Organic Chemistry 776
  • Molecular Biology 621
  • Immunology 173
  • Radiology, Nuclear Medicine and Imaging 105
  • Materials Chemistry 92
Replace Tetsuo Narumi with:
Tetsuo Narumi Japan
Mariano Ortega‐Muñoz Spain
Adam Kraszewski Poland
Yoshiyuki Manabe Japan
С. Чандрасекаран India
Rui Huang United States
Allie C. Obermeyer United States
Mark J. Dixon United Kingdom
Allan B. Gamble New Zealand
Xuguang Yin China
Jin Yu relative to Tetsuo Narumi Japan Tetsuo Narumi's profile →
Citations per field
00.5×1.5×1.8×
Tetsuo Narumi · 1×
Citations per year

Countries citing papers authored by Jin Yu

Since Specialization
Citations

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

Fields of papers citing papers by Jin Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jin Yu

This figure shows the co-authorship network connecting the top 25 collaborators of Jin Yu. A scholar is included among the top collaborators of Jin Yu 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 Yu. Jin Yu 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
#WorkIndexed citations
1 1
2 3
3 23
4 7
5 10
6 20
7 5
8 31
9
The mucin-selective protease StcE enables molecular and functional analysis of human cancer-associated mucinsbreakdown →
184
10 38
11 12
12 21
13 24
14 9
15 36
16 4
17 17
18 6
19 20
20 173

About Jin Yu

Jin Yu is a scholar working on Organic Chemistry, Process Chemistry and Technology and Radiology, Nuclear Medicine and Imaging, having authored 50 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (19 papers), Carbohydrate Chemistry and Synthesis (14 papers) and Catalytic C–H Functionalization Methods (8 papers). The work is most often cited by research in Organic Chemistry (776 citations), Molecular Biology (621 citations) and Immunology (173 citations). Jin Yu has collaborated with scholars based in China, United States and South Korea. Frequent co-authors include Ulrika Westerlind, Xinliang Wang, Xinmiao Liang, Renhua Liu, Christian Pett, Jae Nyoung Kim, Da‐Ming Du, Manuel Schorlemer, Jin Woo Lim and Michael J. Ferracane. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Angewandte Chemie International Edition.

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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