Sanda Tan

1.6k citations
54 papers · 1.1k indexed · h-index 18

Impact in

Papers in

    • Colorectal and Anal Carcinomas 6
    • Surgical Simulation and Training 5
    • Colorectal Cancer Surgical Treatments 11
    • Colorectal Cancer Screening and Detection 6

Sanda Tan

51 papers receiving 1.1k citations

Peers

Sanda Tan
Comparison fields: 5 of 110
  • Developmental Neuroscience 153
  • Cellular and Molecular Neuroscience 270
  • Gender Studies 122
  • Surgery 442
  • Oncology 267
Replace Frank H. Lau with:
Frank H. Lau United States
Matthew E. Cunningham United States
Kaori Sakurada Japan
Benjamin C. Kennedy United States
Anis Féki Switzerland
Harsh Wadhwa United States
Sumedh S. Shah United States
Jason A. Ellis United States
Teresa Sandoval-Schaefer United States
Nardin Samuel Canada
Sanda Tan relative to Frank H. Lau United States Frank H. Lau's profile →
Citations per field
00.5×2.9×
Frank H. Lau · 1×
Citations per year

Countries citing papers authored by Sanda Tan

Since Specialization
Citations

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

Fields of papers citing papers by Sanda Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1994139
2 1995133
3 201781
4 201870
5 199665
6 199260
7 201854
8 201854
9 201751
10 201941
11 201438
12 201537
13 201734
14 199630
15 201825
16 201824
17 200221
18 201719
19 201817
20 200615

About Sanda Tan

Sanda Tan is a scholar working on Surgery, Oncology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Public Health, Environmental and Occupational Health, having authored 54 papers that have together received 1.1k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (11 papers), Nerve injury and regeneration (6 papers), Genetic factors in colorectal cancer (6 papers), Diversity and Career in Medicine (6 papers), Colorectal and Anal Carcinomas (6 papers), Colorectal Cancer Screening and Detection (6 papers), Innovations in Medical Education (5 papers) and Surgical Simulation and Training (5 papers). The work is most often cited by research in Developmental Neuroscience (153 citations), Cellular and Molecular Neuroscience (270 citations), Gender Studies (122 citations), Surgery (442 citations) and Oncology (267 citations). Sanda Tan has collaborated with scholars based in United States, Switzerland and China. Frequent co-authors include Patrick Aebischer, Atif Iqbal, E. Edward Baetge, Shawna C. Willey, Anne D. Zurn, Joseph P. Hammang, Thomas J. George, Amami Kato, Yves Sagot and H. Schmalbruch. Their work appears in journals such as The American Surgeon, Journal of Clinical Oncology, Surgery, Journal of surgical education and Cell Transplantation.

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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