Yiing Lin

10.7k citations
54 papers · 2.9k indexed · 2 hit papers · h-index 24

Yiing Lin

50 papers receiving 2.9k citations

Hit Papers

A Compendium of Chromatin Contact Maps Reveals Spatially ...4892015202620182022100200300400

Peers

Yiing Lin
Comparison fields: 5 of 124
  • Hepatology 503
  • Endocrine and Autonomic Systems 348
  • Aging 65
  • Transplantation 81
  • Molecular Biology 1.3k
Replace Yanqin Yang with:
Yanqin Yang United States
Takashi Tada Japan
Mary A. Ritter United Kingdom
Evan M. Braunstein United States
Heather L. Murray United States
David E. Harrison United States
Manfred Baetscher United States
María Gutiérrez‐Arcelus United States
Diana Zélénika France
Christian Schmedt United States
Yiing Lin relative to Yanqin Yang United States Yanqin Yang's profile →
Citations per field
00.5×9.5×
Yanqin Yang · 1×
Citations per year

Countries citing papers authored by Yiing Lin

Since Specialization
Citations

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

Fields of papers citing papers by Yiing Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20244
4 20241
5 20235
6 20226
7 202280
8 201810
9 201720
10 201534
11 2015143
12 201535
13 201520
14 2014100
15 201472
16 201429
17 201342
18 201228
19 200922
20 19968

About Yiing Lin

Yiing Lin is a scholar working on Transplantation, Hepatology, Surgery, Aging and Cancer Research, having authored 54 papers that have together received 2.9k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (24 papers), Liver Disease and Transplantation (16 papers), Renal Transplantation Outcomes and Treatments (9 papers), Organ Donation and Transplantation (9 papers), Liver Disease Diagnosis and Treatment (7 papers), Transplantation: Methods and Outcomes (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (4 papers) and Phagocytosis and Immune Regulation (4 papers). The work is most often cited by research in Hepatology (503 citations), Endocrine and Autonomic Systems (348 citations), Aging (65 citations), Transplantation (81 citations) and Molecular Biology (1.3k citations). Yiing Lin has collaborated with scholars based in United States, China and France. Frequent co-authors include Shin Lin, Gary D. Stormo, Paul H. Taghert, Bing Ren, William C. Chapman, Inkyung Jung, Anthony D. Schmitt, William C. Chapman, Catherine Tan and Zheng Xu. Their work appears in journals such as Journal of the American College of Surgeons, American Journal of Transplantation, Transplantation, Liver Transplantation and The Journal of Immunology.

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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