Neng‐Yu Lin

1.9k citations
40 papers · 1.2k indexed · h-index 15
Topics
Glycosylation and Glycoproteins Research (10 papers)Systemic Sclerosis and Related Diseases (9 papers)Galectins and Cancer Biology (6 papers)
Partner nations
GermanyTaiwanSwitzerland

In The Last Decade

Neng‐Yu Lin

36 papers receiving 1.2k citations

Peers

Neng‐Yu Lin
Comparison fields: 5 of 85
  • Molecular Biology 775
  • Pathology and Forensic Medicine 251
  • Immunology 225
  • Cancer Research 218
  • Rheumatology 203
Replace Carina Scholtysek with:
Carina Scholtysek Germany
Nicoletta Bivi United States
Joanna Stańczyk Switzerland
Gabriela Motyckova United States
Nan Che China
Alessandra Nerviani United Kingdom
Pei‐Suen Tsou United States
Kirsi‐Maria Haapasaari Finland
Barbora Šumová Czechia
Akihiko Gotoh Japan
Neng‐Yu Lin relative to Carina Scholtysek Germany Carina Scholtysek's profile →
Citations per field
00.5×3.5×
Carina Scholtysek · 1×
Citations per year

Countries citing papers authored by Neng‐Yu Lin

Since Specialization
Citations

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

Fields of papers citing papers by Neng‐Yu Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neng‐Yu Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Neng‐Yu Lin. A scholar is included among the top collaborators of Neng‐Yu Lin 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 Neng‐Yu Lin. Neng‐Yu Lin 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 3
2 1
3 6
4 12
5 6
6 6
7 4
8 0
9 11
10 66
11 36
12 104
13 54
14 28
15 138
16 154
17 26
18 75
19 23
20 63

About Neng‐Yu Lin

Neng‐Yu Lin is a scholar working on Rheumatology, Pathology and Forensic Medicine and Immunology, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Systemic Sclerosis and Related Diseases (9 papers) and Galectins and Cancer Biology (6 papers). The work is most often cited by research in Cancer Research (218 citations), Pathology and Forensic Medicine (251 citations) and Rheumatology (203 citations). Neng‐Yu Lin has collaborated with scholars based in Germany, Taiwan and Switzerland. Frequent co-authors include Georg Schett, Jörg H. W. Distler, Christian Beyer, Alfiya Distler, Clara Dees, Oliver Distler, Katrin Palumbo‐Zerr, Pawel Zerr, Min‐Chuan Huang and Kolja Gelse. Their work appears in journals such as Nature Communications, Molecular and Cellular Biology and The Journal of Clinical Endocrinology & Metabolism.

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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