Richard Z. Lin

5.1k citations
81 papers · 3.9k indexed · h-index 36

Richard Z. Lin

77 papers receiving 3.9k citations

Peers

Richard Z. Lin
Comparison fields: 5 of 120
  • Physiology 162
  • Molecular Biology 2.3k
  • Cardiology and Cardiovascular Medicine 726
  • Cellular and Molecular Neuroscience 547
  • Cell Biology 448
Replace Lisa M. Ballou with:
Lisa M. Ballou United States
Hideaki Bujo Japan
Susanna R. Keller United States
Clara Sciorati Italy
Xiang Luo United States
Huijun Wei United States
Xinli Hu China
Masato Hirata Japan
T. Voyno-Yasenetskaya United States
Haruaki Ninomiya Japan
Richard Z. Lin relative to Lisa M. Ballou United States Lisa M. Ballou's profile →
Citations per field
00.5×2.6×
Lisa M. Ballou · 1×
Citations per year

Countries citing papers authored by Richard Z. Lin

Since Specialization
Citations

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

Fields of papers citing papers by Richard Z. Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20260
2 20212
3 202027
4 201911
5 20178
6 201712
7 2016217
8 201558
9 2013104
10 201222
11 201124
12
Interactions Between Gap Junctional Communication And Phosphoinositide 3-kinase Signaling In Lens Growth
20111
13 2008340
14 200744
15 200730
16 200544
17 200326
18 2002179
19 199927
20 1996110

About Richard Z. Lin

Richard Z. Lin is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine and Physiology, having authored 81 papers that have together received 3.9k indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (18 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Cardiac electrophysiology and arrhythmias (14 papers), PI3K/AKT/mTOR signaling in cancer (11 papers), Ion channel regulation and function (11 papers), Autophagy in Disease and Therapy (7 papers), Adipose Tissue and Metabolism (5 papers) and Cancer, Hypoxia, and Metabolism (5 papers). The work is most often cited by research in Physiology (162 citations), Molecular Biology (2.3k citations) and Cardiology and Cardiovascular Medicine (726 citations). Richard Z. Lin has collaborated with scholars based in United States, China and Russia. Frequent co-authors include Lisa M. Ballou, Yaping Jiang, Ira S. Cohen, Brian B. Hoffman, Zhongju Lu, Zhixun Dou, Zhuowei Hu, Nadia Jaber, Yaping Jiang and Aurelio Galli. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and Circulation.

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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