Kin Yip Tam

149 papers receiving 4.8k citations

Kin Yip Tam's Hit Papers

Pathological mechanisms and therapeutic strategies for Alzheimer’s disease 2021 · 299 citations
2990+1+3Years since publication50100150200250

Peers

Kin Yip Tam
Comparison fields: 5 of 153
  • Filtration and Separation 235
  • Energy Engineering and Power Technology 201
  • Spectroscopy 738
  • Electrochemistry 261
  • Cancer Research 541
Replace Min Liu with:
Min Liu China
Yukui Zhang China
Abraham Nudelman Israel
Jian Chen China
Chao Wang China
Qianqian Xu China
Michał J. Markuszewski Poland
Youyu Zhang China
Hua He China
Ying Sun China
Kin Yip Tam relative to Min Liu China Min Liu's profile →
Citations per field
00.5×10×16.8×
Min Liu · 1×
Citations per year

Countries citing papers authored by Kin Yip Tam

Since Specialization
Citations

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

Fields of papers citing papers by Kin Yip Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 155 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998350
2
Pathological mechanisms and therapeutic strategies for Alzheimer’s disease
Hit paper breakdown →
2021299
3 1999196
4 2013170
5 1998148
6 2001140
7 2015126
8 2003123
9 2006121
10 2002119
11 2012112
12 2010107
13 2008107
14 2016104
15 201294
16 200288
17 201884
18 201080
19 201074
20 201569

About Kin Yip Tam

Kin Yip Tam is a scholar working on Molecular Biology, Cancer Research, Oncology, Spectroscopy and Materials Chemistry, having authored 155 papers that have together received 4.9k indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (26 papers), ATP Synthase and ATPases Research (17 papers), Electrochemical Analysis and Applications (15 papers), Chemical and Physical Properties in Aqueous Solutions (13 papers), Drug Transport and Resistance Mechanisms (12 papers), Analytical Chemistry and Chromatography (11 papers), Alzheimer's disease research and treatments (11 papers) and Cholinesterase and Neurodegenerative Diseases (11 papers). The work is most often cited by research in Filtration and Separation (235 citations), Energy Engineering and Power Technology (201 citations), Spectroscopy (738 citations), Electrochemistry (261 citations) and Cancer Research (541 citations). Kin Yip Tam has collaborated with scholars based in Macao, United Kingdom and China. Frequent co-authors include Shik Chi Edman Tsang, Yaojun Ju, Alex Avdeef, Karl Box, John Comer, Shaolin Zhang, Xiaohui Hu, Krisztina Takács‐Novák, Katarzyna Morawa Eblagon and Wen Zhang. Their work appears in journals such as European Journal of Pharmaceutical Sciences, Journal of Medicinal Chemistry, Journal of Pharmaceutical and Biomedical Analysis, Drug Discovery Today and International Journal of Biological Sciences.

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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