Polo C.‐H. Lam

36 papers receiving 760 citations

Peers

Polo C.‐H. Lam
Comparison fields: 5 of 76
  • Cellular and Molecular Neuroscience 289
  • Pharmacology 144
  • Computational Theory and Mathematics 107
  • Molecular Biology 435
  • Organic Chemistry 180
Replace Andjelka S. Ćelić with:
Andjelka S. Ćelić Serbia
Gina M. Clayton United States
Raphaël Rahmani Australia
Yui S. Tang United States
Israel Silman Israel
Fa‐Xiang Ding United States
Martha H. Murtiashaw United States
Evan M. Green United States
Agostino Bruno Italy
Karen E. Marshall United Kingdom
Polo C.‐H. Lam relative to Andjelka S. Ćelić Serbia Andjelka S. Ćelić's profile →
Citations per field
00.5×3.7×
Andjelka S. Ćelić · 1×
Citations per year

Countries citing papers authored by Polo C.‐H. Lam

Since Specialization
Citations

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

Fields of papers citing papers by Polo C.‐H. Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201147
2 200345
3 200844
4 200942
5 201241
6 201140
7 201736
8 200729
9 201229
10 201229
11 200529
12 200828
13 201127
14 201326
15 200724
16 200221
17 201220
18 201520
19 201020
20 200919

About Polo C.‐H. Lam

Polo C.‐H. Lam is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Pharmacology, Computational Theory and Mathematics and Organic Chemistry, having authored 37 papers that have together received 775 indexed citations. Recurring topics across this work include Receptor Mechanisms and Signaling (16 papers), Neuropeptides and Animal Physiology (15 papers), Chemical Synthesis and Analysis (9 papers), Cholinesterase and Neurodegenerative Diseases (8 papers), Computational Drug Discovery Methods (8 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Malaria Research and Control (4 papers) and Asymmetric Synthesis and Catalysis (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (289 citations), Pharmacology (144 citations), Computational Theory and Mathematics (107 citations), Molecular Biology (435 citations) and Organic Chemistry (180 citations). Polo C.‐H. Lam has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Ruben Abagyan, Paul R. Carlier, Laurence J. Miller, Maoqing Dong, Maxim Totrov, Patrick M. Sexton, Delia I. Pinon, Dawn M. Wong, Andrew Orry and Jeffrey R. Bloomquist. Their work appears in journals such as Journal of Biological Chemistry, Molecular Pharmacology, Journal of Computer-Aided Molecular Design, Chemico-Biological Interactions and Biochemistry.

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.

Explore authors with similar magnitude of impact