Benjamin Tam

765 citations
18 papers · 397 · h-index 9

Impact in

Papers in

    • Genomics and Rare Diseases 9
    • Forensic and Genetic Research 2
    • BRCA gene mutations in cancer 2
    • Metal-Organic Frameworks: Synthesis and Applications 3

Benjamin Tam

18 papers receiving 391 citations

Peers

Benjamin Tam
Comparison fields: 5 of 53
  • Inorganic Chemistry 73
  • Process Chemistry and Technology 6
  • Computational Theory and Mathematics 38
  • Genetics 57
  • Renewable Energy, Sustainability and the Environment 29
Replace Jae‐Sun Shin with:
Jae‐Sun Shin South Korea
Matthew C. Chan United States
Jinjun Wu China
Oscar Alvizo United States
William C. Edstrom United States
Felipe de Jesus Cortez United States
Gerardo Zambrano Italy
Rebecca A. Robbins United States
Warren Athol Thompson United Kingdom
Jacob H. Forstater United States
Benjamin Tam relative to Jae‐Sun Shin South Korea Jae‐Sun Shin's profile →
Citations per field
00.5×2×3×3.8×
Jae‐Sun Shin · 1×
Citations per year

Countries citing papers authored by Benjamin Tam

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 202281
2 201779
3 201756
4 201945
5 202043
6 202118
7 202311
8 202210
9 20179
10 20219
11 20218
12 20237
13 20247
14 20225
15 20234
16 20233
17 20231
18 20241

About Benjamin Tam

Benjamin Tam is a scholar working on Genetics, Inorganic Chemistry, Pathology and Forensic Medicine, Cancer Research and Molecular Biology, having authored 18 papers that have together received 397 indexed citations. Recurring topics across this work include Genomics and Rare Diseases (9 papers), Protein Structure and Dynamics (3 papers), Metal-Organic Frameworks: Synthesis and Applications (3 papers), Forensic and Genetic Research (2 papers), Genetic factors in colorectal cancer (2 papers), BRCA gene mutations in cancer (2 papers), Gas Sensing Nanomaterials and Sensors (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Inorganic Chemistry (73 citations), Process Chemistry and Technology (6 citations), Computational Theory and Mathematics (38 citations), Genetics (57 citations) and Renewable Energy, Sustainability and the Environment (29 citations). Benjamin Tam has collaborated with scholars based in Macao, United Kingdom and Türkiye. Frequent co-authors include San Ming Wang, Siddharth Sinha, A. Özgür Yazaydın, Ünal Şen, Omar K. Farha, Joseph T. Hupp, Mustafa Erkartal, Hakan Usta, Heinz Kohler and Navas Illyaskutty. Their work appears in journals such as International Journal of Molecular Sciences, Briefings in Bioinformatics, Viruses, Journal of Medical Genetics and Biomolecules.

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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