Tam Ha

1.4k citations
36 papers · 953 · h-index 15

Impact in

    • Head and Neck Cancer Studies
  • Oncology top 10%
    • Metal complexes synthesis and properties
    • Bone health and treatments

Papers in

    • Colorectal Cancer Screening and Detection 3
    • Metal complexes synthesis and properties 2
    • Cancer therapeutics and mechanisms 3

Tam Ha

33 papers receiving 923 citations

Peers

Tam Ha
Comparison fields: 5 of 110
  • Otorhinolaryngology 155
  • Oncology 350
  • Organic Chemistry 135
  • Statistics, Probability and Uncertainty 30
  • Cancer Research 49
Replace Qiongwen Zhang with:
Qiongwen Zhang China
Loredana G. Marcu Australia
Michael Moran United Kingdom
E. Ehrnrooth United States
Christine Jacobsen Switzerland
Francisco Silva Portugal
Lisa Brunton United Kingdom
Michelle Mierzwa United States
Paul Shield Australia
Tian Qiu China
Tam Ha relative to Qiongwen Zhang China Qiongwen Zhang's profile →
Citations per field
00.5×10×16.9×
Qiongwen Zhang · 1×
Citations per year

Countries citing papers authored by Tam Ha

Since Specialization
Citations

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

Fields of papers citing papers by Tam Ha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010155
2 1989153
3 200777
4 201270
5 200668
6 201854
7 200953
8 201553
9 201744
10 201237
11 201822
12 201322
13 200321
14 201119
15 199014
16 198614
17 200613
18 201611
19 201610
20 20236

About Tam Ha

Tam Ha is a scholar working on Oncology, Molecular Biology, Otorhinolaryngology, Public Health, Environmental and Occupational Health and Education, having authored 36 papers that have together received 953 indexed citations. Recurring topics across this work include Head and Neck Cancer Studies (6 papers), Innovations in Medical Education (4 papers), Health and Medical Research Impacts (3 papers), Colorectal Cancer Screening and Detection (3 papers), Cancer therapeutics and mechanisms (3 papers), Problem and Project Based Learning (3 papers), Metal complexes synthesis and properties (2 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Otorhinolaryngology (155 citations), Oncology (350 citations), Organic Chemistry (135 citations), Statistics, Probability and Uncertainty (30 citations) and Cancer Research (49 citations). Tam Ha has collaborated with scholars based in Singapore, Australia and France. Frequent co-authors include Joseph Wee, Susan Loong, Chao-Nan Qian, Franz L. Wimmer, Neil P. Johnson, Jean Pierre Souchard, Suzy Cros, Nicholas P. Farrell, Say Beng Tan and Khee Chee Soo. Their work appears in journals such as Chinese Journal of Cancer, BMC Medical Education, Journal of Medicinal Chemistry, Frontiers in Public Health and Radiotherapy and Oncology.

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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