Sandra Tong

573 citations
18 papers · 408 · h-index 9

Impact in

  • Hematology top 5%
    • Platelet Disorders and Treatments
    • Blood groups and transfusion
  • Genetics top 10%
    • Chronic Lymphocytic Leukemia Research

Papers in

    • Platelet Disorders and Treatments 8
    • Blood groups and transfusion 4
    • Chronic Lymphocytic Leukemia Research 7

Sandra Tong

18 papers receiving 402 citations

Peers

Sandra Tong
Comparison fields: 5 of 57
  • Hematology 171
  • Genetics 71
  • Pathology and Forensic Medicine 69
  • Nephrology 22
  • Oncology 73
Replace Mie Uchida with:
Mie Uchida Japan
Ruirong Yuan United States
Adrian Tempescul France
Angelika Weis Germany
E. Nadal Spain
Bastien Kaniewski France
Antonella Contri Italy
Yasuyuki Kaneta Japan
Fangmiao Jing China
Sandra Tong relative to Mie Uchida Japan Mie Uchida's profile →
Citations per field
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Mie Uchida · 1×
Citations per year

Countries citing papers authored by Sandra Tong

Since Specialization
Citations

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

Fields of papers citing papers by Sandra Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 2011100
2 201982
3 202047
4 202033
5 201132
6 202227
7 201617
8 202215
9 201915
10 20188
11 20187
12 20237
13 20204
14 20204
15 20213
16 20183
17 20202
18 20162

About Sandra Tong

Sandra Tong is a scholar working on Hematology, Genetics, Pathology and Forensic Medicine, Immunology and Molecular Biology, having authored 18 papers that have together received 408 indexed citations. Recurring topics across this work include Platelet Disorders and Treatments (8 papers), Chronic Lymphocytic Leukemia Research (7 papers), Blood groups and transfusion (4 papers), Autoimmune Bullous Skin Diseases (3 papers), Melanoma and MAPK Pathways (2 papers), Cancer, Stress, Anesthesia, and Immune Response (2 papers), Cancer Immunotherapy and Biomarkers (2 papers) and PI3K/AKT/mTOR signaling in cancer (2 papers). The work is most often cited by research in Hematology (171 citations), Genetics (71 citations), Pathology and Forensic Medicine (69 citations), Nephrology (22 citations) and Oncology (73 citations). Sandra Tong has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Michael Boxer, Nichola Cooper, James B. Bussel, Donald M. Arnold, Hany Zayed, Robert P. Numerof, Anne‐Marie Duliège, Stanley Cohen, Ernest Brahn and David Wofsy. Their work appears in journals such as Blood, Journal of Clinical Oncology, American Journal of Hematology, British Journal of Haematology and Kidney International Reports.

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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