Yiing Lin

54 papers receiving 3.2k citations

Yiing Lin's Hit Papers

A Compendium of Chromatin Contact Maps Reveals Spatially Active Regions in the Human Genome 2016 · 510 citations
5100+3+7Years since publication100200300400500

Peers

Yiing Lin
Comparison fields: 5 of 119
  • Endocrine and Autonomic Systems 356
  • Hepatology 399
  • Aging 68
  • Transplantation 58
  • Molecular Biology 1.4k
Replace Yanqin Yang with:
Yanqin Yang United States
Takashi Tada Japan
Manfred Baetscher United States
Evan M. Braunstein United States
Heather L. Murray United States
María Gutiérrez‐Arcelus United States
Christian Schmedt United States
Yan Zhou China
Rémi Houlgatte France
Ana Dopazo Spain
Yiing Lin relative to Yanqin Yang United States Yanqin Yang's profile →
Citations per field
00.5×2×4×6×8.3×
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-authors

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

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1
A Compendium of Chromatin Contact Maps Reveals Spatially Active Regions in the Human Genome
Hit paper breakdown →
2016510
2
Human body epigenome maps reveal noncanonical DNA methylation variation
Hit paper breakdown →
2015442
3 2014287
4 2004262
5 2002165
6 2015156
7 2015147
8 2014102
9 201396
10 202292
11 201678
12 201475
13 201374
14 201769
15 201558
16 201750
17 201343
18 201538
19 201536
20 201534

About Yiing Lin

Yiing Lin is a scholar working on Surgery, Molecular Biology, Hepatology, Cancer Research and Epidemiology, having authored 56 papers that have together received 3.2k indexed citations. Recurring topics across this work include Organ Transplantation Techniques and Outcomes (16 papers), Liver Disease and Transplantation (6 papers), Liver Disease Diagnosis and Treatment (4 papers), Organ Donation and Transplantation (4 papers), Renal Transplantation Outcomes and Treatments (3 papers), RNA Research and Splicing (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Circadian rhythm and melatonin (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (356 citations), Hepatology (399 citations), Aging (68 citations), Transplantation (58 citations) and Molecular Biology (1.4k citations). Yiing Lin has collaborated with scholars based in United States, China and Spain. Frequent co-authors include Shin Lin, Paul H. Taghert, Gary D. Stormo, Inkyung Jung, Bing Ren, Anthony D. Schmitt, William C. Chapman, William C. Chapman, Yunjiang Qiu and Joseph R. Ecker. Their work appears in journals such as Journal of the American College of Surgeons, American Journal of Transplantation, Transplantation, Liver Transplantation and Communications Biology.

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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