Heather H. Shih

2.2k citations
24 papers · 1.7k indexed · h-index 18
Topics
Cancer-related Molecular Pathways (7 papers)Atherosclerosis and Cardiovascular Diseases (4 papers)Ubiquitin and proteasome pathways (4 papers)

In The Last Decade

Heather H. Shih

23 papers receiving 1.7k citations

Peers

Heather H. Shih
Comparison fields: 5 of 95
  • Molecular Biology 931
  • Physiology 414
  • Cell Biology 316
  • Oncology 287
  • Cellular and Molecular Neuroscience 232
Replace Qingyuan Ge with:
Qingyuan Ge United States
Rosaria Bassi Italy
Joseph A. Erhardt United States
Kathryn E. Meier United States
Jee‐Yin Ahn South Korea
Jaya Padmanabhan United States
R. F. G. Booth United Kingdom
Chang‐Wook Lee United States
Dongmei Zuo Canada
Bernard Rothhut France
Heather H. Shih relative to Qingyuan Ge United States Qingyuan Ge's profile →
Citations per field
00.5×1.5×
Qingyuan Ge · 1×
Citations per year

Countries citing papers authored by Heather H. Shih

Since Specialization
Citations

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

Fields of papers citing papers by Heather H. Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Heather H. Shih. 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 Heather H. Shih. The network helps show where Heather H. Shih may publish in the future.

Co-authorship network of co-authors of Heather H. Shih

This figure shows the co-authorship network connecting the top 25 collaborators of Heather H. Shih. A scholar is included among the top collaborators of Heather H. Shih 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 Heather H. Shih. Heather H. Shih 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 0
2 34
3 7
4 60
5 55
6 26
7 45
8 21
9 7
10 68
11 234
12 483
13 60
14 42
15 7
16 65
17 7
18 128
19 1
20 49

About Heather H. Shih

Heather H. Shih is a scholar working on Immunology and Allergy, Oncology and Molecular Biology, having authored 24 papers that have together received 1.7k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (7 papers), Atherosclerosis and Cardiovascular Diseases (4 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Developmental Neuroscience (107 citations), Biochemistry (150 citations) and Cell Biology (316 citations). Heather H. Shih has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Huang-Chun Tseng, Joseph Goldman, Jonathan C. Cruz, Li‐Huei Tsai, Amy S. Yee, Sergei G. Tevosian, Janet Paulsen, Li-Huei Tsai, Kamon Sanada and Benjamin A. Samuels. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

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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