Kit‐Lam Chan

90 papers receiving 2.2k citations

Peers

Kit‐Lam Chan
Comparison fields: 5 of 95
  • Pharmacology 271
  • Complementary and alternative medicine 256
  • Molecular Biology 972
  • Plant Science 583
  • Pharmaceutical Science 82
Replace Vikneswaran Murugaiyah with:
Vikneswaran Murugaiyah Malaysia
Ping‐Chung Kuo Taiwan
Maged Saad Abdel-Kader Saudi Arabia
Samuel Enoch Estrada-Soto Mexico
Song Gao United States
Ampai Panthong Thailand
Xin He China
Biswanath Dinda India
Sunil Kumar Mishra India
Gardênia Carmen Gadelha Militão Brazil
Kit‐Lam Chan relative to Vikneswaran Murugaiyah Malaysia Vikneswaran Murugaiyah's profile →
Citations per field
00.5×1.5×2×2.3×
Vikneswaran Murugaiyah · 1×
Citations per year

Countries citing papers authored by Kit‐Lam Chan

Since Specialization
Citations

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

Fields of papers citing papers by Kit‐Lam Chan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kit‐Lam Chan. 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 Kit‐Lam Chan. The network helps show where Kit‐Lam Chan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986108
2 2004102
3 198796
4 201295
5 201482
6 201379
7 200975
8 199574
9 201261
10 201160
11 201159
12 200658
13 200756
14 200851
15 198950
16 199349
17 201548
18 200647
19 200942
20 200038

About Kit‐Lam Chan

Kit‐Lam Chan is a scholar working on Molecular Biology, Pharmacology, Reproductive Medicine, Analytical Chemistry and Plant Science, having authored 95 papers that have together received 2.5k indexed citations. Recurring topics across this work include Phytochemical compounds biological activities (31 papers), Medicinal Plant Research (10 papers), Analytical Methods in Pharmaceuticals (8 papers), Sperm and Testicular Function (7 papers), Crystal structures of chemical compounds (7 papers), Phytochemical Studies and Bioactivities (6 papers), Phytochemistry and Biological Activities (5 papers) and Traditional and Medicinal Uses of Annonaceae (5 papers). The work is most often cited by research in Pharmacology (271 citations), Complementary and alternative medicine (256 citations), Molecular Biology (972 citations), Plant Science (583 citations) and Pharmaceutical Science (82 citations). Kit‐Lam Chan has collaborated with scholars based in Malaysia, Japan and United Kingdom. Frequent co-authors include Vikneswaran Murugaiyah, Chee‐Yan Choo, Bin‐Seng Low, Chin-Hoe Teh, Hiroshi Morita, David C. Warhurst, Melanie J. O’Neill, J. David Phillipson, Hooi Hoon Ang and Joon Wah Mak. Their work appears in journals such as Planta Medica, Journal of Ethnopharmacology, Phytotherapy Research, Natural Product Communications and Phytochemistry.

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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