Ted Shih

789 citations
12 papers · 581 · h-index 8

Impact in

    • HER2/EGFR in Cancer Research
    • Colorectal Cancer Treatments and Studies
    • Cancer Treatment and Pharmacology

Papers in

    • HER2/EGFR in Cancer Research 3
    • Peptidase Inhibition and Analysis 2
    • CAR-T cell therapy research 2
    • Chronic Lymphocytic Leukemia Research 4

Ted Shih

12 papers receiving 571 citations

Peers

Ted Shih
Comparison fields: 5 of 78
  • Oncology 187
  • Genetics 58
  • Cancer Research 76
  • Hematology 39
  • Radiology, Nuclear Medicine and Imaging 67
Replace Tímea Besenyei with:
Tímea Besenyei Hungary
Yunxiang Zhang China
Christiane Amendt Germany
Renato G.S. Chirivi Italy
Malaka Ameratunga Australia
Roger Mouawad France
Christian Seitz Germany
Tatjana M.H. Niers Netherlands
Jingxuan Liu United States
Ted Shih relative to Tímea Besenyei Hungary Tímea Besenyei's profile →
Citations per field
00.5×1.5×1.9×
Tímea Besenyei · 1×
Citations per year

Countries citing papers authored by Ted Shih

Since Specialization
Citations

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

Fields of papers citing papers by Ted Shih

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2006394
2 202034
3 201332
4 201230
5 202327
6 199720
7 201918
8 202012
9 20197
10 20204
11 20102
12 20081

About Ted Shih

Ted Shih is a scholar working on Oncology, Genetics, Radiology, Nuclear Medicine and Imaging, Electrical and Electronic Engineering and Pathology and Forensic Medicine, having authored 12 papers that have together received 581 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (4 papers), Monoclonal and Polyclonal Antibodies Research (3 papers), HER2/EGFR in Cancer Research (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Peptidase Inhibition and Analysis (2 papers), CAR-T cell therapy research (2 papers), Acute Myeloid Leukemia Research (1 paper) and Pharmacogenetics and Drug Metabolism (1 paper). The work is most often cited by research in Oncology (187 citations), Genetics (58 citations), Cancer Research (76 citations), Hematology (39 citations) and Radiology, Nuclear Medicine and Imaging (67 citations). Ted Shih has collaborated with scholars based in United States, United Kingdom and Taiwan. Frequent co-authors include Celeste Lindley, Yu‐Waye Chu, Sandhya Girish, Amita Joshi, Pen-Jui Peng, S.H. Lewis, Joo‐Hee Yi, Manish Gupta, P.J. Hurst and Patricia LoRusso. Their work appears in journals such as Blood, IEEE Journal of Solid-State Circuits, Current Drug Metabolism, Clinical Therapeutics and Cancer Research.

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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