King‐Tung Chin

1.5k citations
13 papers · 1.3k indexed · 1 hit paper · h-index 12
Topics
Endoplasmic Reticulum Stress and Disease (7 papers)Pancreatic function and diabetes (4 papers)T-cell and Retrovirus Studies (3 papers)

In The Last Decade

King‐Tung Chin

13 papers receiving 1.2k citations

Hit Papers

Role of ERO1-α–mediated stimulation of inositol 1,4,5-tri...20092026201420202009100200300400500

Peers

King‐Tung Chin
Comparison fields: 5 of 84
  • Cell Biology 723
  • Molecular Biology 631
  • Epidemiology 337
  • Surgery 186
  • Immunology 179
Replace Shane Deegan with:
Shane Deegan Ireland
Terence P. Herbert United Kingdom
Wafa B'Chir France
Patrick J. Gillespie United States
Ryoko Akai Japan
Arvin B. Tam United States
Ciara M Gallagher United States
Tomas Luyten Belgium
Valérie Carraro France
Vikramjit Lahiri India
King‐Tung Chin relative to Shane Deegan Ireland Shane Deegan's profile →
Citations per field
00.5×1.5×2.2×
Shane Deegan · 1×
Citations per year

Countries citing papers authored by King‐Tung Chin

Since Specialization
Citations

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

Fields of papers citing papers by King‐Tung Chin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by King‐Tung Chin. 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 King‐Tung Chin. The network helps show where King‐Tung Chin may publish in the future.

Co-authorship network of co-authors of King‐Tung Chin

This figure shows the co-authorship network connecting the top 25 collaborators of King‐Tung Chin. A scholar is included among the top collaborators of King‐Tung Chin 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 King‐Tung Chin. King‐Tung Chin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
#WorkIndexed citations
1 48
2 37
3 205
4 3
5 39
6
Role of ERO1-α–mediated stimulation of inositol 1,4,5-triphosphate receptor activity in endoplasmic reticulum stress–induced apoptosisbreakdown →
503
7 29
8 14
9 185
10 57
11 88
12 27
13 20

About King‐Tung Chin

King‐Tung Chin is a scholar working on Aging, Cell Biology and Physiology, having authored 13 papers that have together received 1.3k indexed citations. Recurring topics across this work include Endoplasmic Reticulum Stress and Disease (7 papers), Pancreatic function and diabetes (4 papers) and T-cell and Retrovirus Studies (3 papers). The work is most often cited by research in Cell Biology (723 citations), Physiology (70 citations) and Epidemiology (337 citations). King‐Tung Chin has collaborated with scholars based in Hong Kong, United States and United Kingdom. Frequent co-authors include David Ron, Heather P. Harding, Gang Li, Marco Mongillo, Ira Tabas, Andrew R. Marks, Dong‐Yan Jin, Ester Zito, Jaime D. Blais and Kam‐Leung Siu. Their work appears in journals such as Nucleic Acids Research, Journal of Biological Chemistry and The Journal of Cell 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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