Sanda Tan

1.6k citations
58 papers · 1.2k · h-index 19

Impact in

Papers in

    • Colorectal and Anal Carcinomas 4
    • Pancreatic function and diabetes 4
    • Colorectal Cancer Surgical Treatments 9
    • Colorectal Cancer Treatments and Studies 5
    • Colorectal Cancer Screening and Detection 4

Sanda Tan

55 papers receiving 1.2k citations

Peers

Sanda Tan
Comparison fields: 5 of 108
  • Developmental Neuroscience 166
  • Cellular and Molecular Neuroscience 294
  • Gender Studies 101
  • Surgery 351
  • Oncology 210
Replace Frank H. Lau with:
Frank H. Lau United States
Joyce Axelman United States
Michelle E. E. Bauer Canada
Kevin X. Liu United States
Ashok R. Asthagiri United States
Anis Féki Switzerland
Chris O’Sullivan United States
Brian R. Rood United States
Lisa Christenson United States
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Sanda Tan relative to Frank H. Lau United States Frank H. Lau's profile →
Citations per field
00.5×3.0×
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 58 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995154
2 1994147
3 201782
4 201873
5 199272
6 199670
7 201863
8 201857
9 201751
10 201942
11 199640
12 201438
13 201537
14 201735
15 201826
16 201826
17 200221
18 200619
19 201719
20 201817

About Sanda Tan

Sanda Tan is a scholar working on Surgery, Oncology, Pathology and Forensic Medicine, Cellular and Molecular Neuroscience and Molecular Biology, having authored 58 papers that have together received 1.2k indexed citations. Recurring topics across this work include Colorectal Cancer Surgical Treatments (9 papers), Nerve injury and regeneration (6 papers), Colorectal Cancer Treatments and Studies (5 papers), Pluripotent Stem Cells Research (5 papers), Genetic factors in colorectal cancer (5 papers), Colorectal and Anal Carcinomas (4 papers), Pancreatic function and diabetes (4 papers) and Colorectal Cancer Screening and Detection (4 papers). The work is most often cited by research in Developmental Neuroscience (166 citations), Cellular and Molecular Neuroscience (294 citations), Gender Studies (101 citations), Surgery (351 citations) and Oncology (210 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, Anne D. Zurn, Joseph P. Hammang, Amami Kato, H. Schmalbruch, Yves Sagot, Thomas J. George and Steven J. Hughes. Their work appears in journals such as The American Surgeon, Journal of Clinical Oncology, Surgery, Cell Transplantation and Journal of surgical education.

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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