T. Shane Shih

1.9k citations
9 papers · 1.4k indexed · 1 hit paper · h-index 8
Topics
Neuroblastoma Research and Treatments (4 papers)Neurofibromatosis and Schwannoma Cases (4 papers)Sarcoma Diagnosis and Treatment (3 papers)
Partner nations
United StatesCanada

In The Last Decade

T. Shane Shih

8 papers receiving 1.4k citations

Hit Papers

Tumour predisposition in mice heterozygous for a targeted...19942026200420151994100200300400500

Peers

T. Shane Shih
Comparison fields: 5 of 65
  • Neurology 692
  • Molecular Biology 690
  • Pulmonary and Respiratory Medicine 248
  • Oncology 222
  • Cell Biology 184
Replace Roberta L. Beauchamp with:
Roberta L. Beauchamp United States
Walter J. Crosier Japan
Rong A. Wang United States
Gwénola Boulday France
Shyra J. Miller United States
Takuyu Taki Japan
Saskia E. van Mil Netherlands
Yuan Zhu Germany
Jennifer J. Kordich United States
Lone B. Andersen United States
T. Shane Shih relative to Roberta L. Beauchamp United States Roberta L. Beauchamp's profile →
Citations per field
00.5×1.7×
Roberta L. Beauchamp · 1×
Citations per year

Countries citing papers authored by T. Shane Shih

Since Specialization
Citations

This map shows the geographic impact of T. Shane 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 T. Shane Shih with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Shane Shih more than expected).

Fields of papers citing papers by T. Shane Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of T. Shane Shih

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

All Works

9 of 9 papers shown
#WorkIndexed citations
1 0
2 7
3 107
4 20
5 351
6 8
7 295
8 36
9
Tumour predisposition in mice heterozygous for a targeted mutation in Nf1breakdown →
597

About T. Shane Shih

T. Shane Shih is a scholar working on Neurology, Cell Biology and Ophthalmology, having authored 9 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neuroblastoma Research and Treatments (4 papers), Neurofibromatosis and Schwannoma Cases (4 papers) and Sarcoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Neurology (692 citations), Cell Biology (184 citations) and Molecular Biology (690 citations). T. Shane Shih has collaborated with scholars based in United States and Canada. Frequent co-authors include Tyler Jacks, Roderick T. Bronson, Earlene M. Schmitt, André Bernards, Robert A. Weinberg, Karen Cichowski, Karlyne M. Reilly, Margaret E. McLaughlin, Derrick J. Rossi and Geraldine Mbamalu. Their work appears in journals such as Nature, Science 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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