Christopher Tran

551 citations
19 papers · 356 · h-index 10

Impact in

    • Artificial Intelligence in Healthcare and Education
  • Neurology top 10%
    • Myasthenia Gravis and Thymoma
    • Parkinson's Disease and Spinal Disorders
    • Peripheral Neuropathies and Disorders

Papers in

    • Myasthenia Gravis and Thymoma 3
    • COVID-19 and healthcare impacts 2

Christopher Tran

16 papers receiving 354 citations

Peers

Christopher Tran
Comparison fields: 5 of 75
  • Health Informatics 26
  • Neurology 86
  • Oncology 62
  • Cancer Research 31
  • Immunology 38
Replace Fulvio D’Angelo with:
Fulvio D’Angelo Italy
Marie‐Laure Island France
Zhou Jiang China
Chao Guan China
Masis Isikbay United States
Zheng Zhu China
Amy L. Stark United States
Myung‐Giun Noh South Korea
Thaddaeus Kwan United States
Mamatha Shekar United States
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Citations per field
00.5×10×13×
Fulvio D’Angelo · 1×
Citations per year

Countries citing papers authored by Christopher Tran

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Tran

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 201394
2 200948
3 202037
4 201833
5 202428
6 202128
7 202019
8 202415
9 202113
10 201613
11 20229
12 20247
13 20205
14 20235
15 20231
16 20201
17 20240
18 20230
19 20260

About Christopher Tran

Christopher Tran is a scholar working on Neurology, Oncology, Infectious Diseases, Molecular Biology and Epidemiology, having authored 19 papers that have together received 356 indexed citations. Recurring topics across this work include Myasthenia Gravis and Thymoma (3 papers), Foreign Body Medical Cases (2 papers), Acute Ischemic Stroke Management (2 papers), COVID-19 and healthcare impacts (2 papers), Venous Thromboembolism Diagnosis and Management (1 paper), Digital Imaging for Blood Diseases (1 paper), Insects and Parasite Interactions (1 paper) and Microbial infections and disease research (1 paper). The work is most often cited by research in Health Informatics (26 citations), Neurology (86 citations), Oncology (62 citations), Cancer Research (31 citations) and Immunology (38 citations). Christopher Tran has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Vera Bril, Carolina Barnett, Hans Katzberg, Ashley E.E. Bruce, Hasan Sheikh, Erica L. Jackson, Qinghua Song, Alicia S. Chung, Y. Gloria Meng and Amy Sambrone. Their work appears in journals such as Archives of Pathology & Laboratory Medicine, Neurology, European Journal of Neurology, Nucleic Acids Research and Injury Prevention.

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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