Connie Mo Ching Lam

509 citations
14 papers · 422 indexed · h-index 11
Topics
Calcium signaling and nucleotide metabolism (9 papers)Adenosine and Purinergic Signaling (5 papers)Protist diversity and phylogeny (5 papers)

In The Last Decade

Connie Mo Ching Lam

14 papers receiving 416 citations

Peers

Connie Mo Ching Lam
Comparison fields: 5 of 67
  • Physiology 257
  • Molecular Biology 147
  • Sensory Systems 99
  • Oncology 79
  • Immunology 60
Replace Bianca Esposito with:
Bianca Esposito Italy
Michaella Velichkova United States
Clark C. Fjeld United States
Mireia Pérez-Verdaguer Spain
Jesusa Capera Spain
John J. Shacka United States
Bernard Pellissier France
R. Michael Sivley United States
Noah Jenkins United States
Kathryn H. Shows United States
Connie Mo Ching Lam relative to Bianca Esposito Italy Bianca Esposito's profile →
Citations per field
00.5×6.6×
Bianca Esposito · 1×
Citations per year

Countries citing papers authored by Connie Mo Ching Lam

Since Specialization
Citations

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

Fields of papers citing papers by Connie Mo Ching Lam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Connie Mo Ching 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 Connie Mo Ching Lam. The network helps show where Connie Mo Ching Lam may publish in the future.

Co-authorship network of co-authors of Connie Mo Ching Lam

This figure shows the co-authorship network connecting the top 25 collaborators of Connie Mo Ching Lam. A scholar is included among the top collaborators of Connie Mo Ching Lam based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Connie Mo Ching Lam. Connie Mo Ching Lam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 63
2 18
3 129
4 32
5 25
6 25
7 8
8 37
9 10
10 17
11 25
12 8
13 19
14 6

About Connie Mo Ching Lam

Connie Mo Ching Lam is a scholar working on Physiology, Sensory Systems and Environmental Chemistry, having authored 14 papers that have together received 422 indexed citations. Recurring topics across this work include Calcium signaling and nucleotide metabolism (9 papers), Adenosine and Purinergic Signaling (5 papers) and Protist diversity and phylogeny (5 papers). The work is most often cited by research in Physiology (257 citations), Sensory Systems (99 citations) and Geriatrics and Gerontology (49 citations). Connie Mo Ching Lam has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Hon Cheung Lee, Yong Zhao, Joseph T.Y. Wong, Quan Hao, David C. New, Lihe Zhang, Liangren Zhang, Patrick K.K. Yeung, Hongmin Zhang and Jianbo Yue. Their work appears in journals such as Journal of Biological Chemistry, Applied and Environmental Microbiology 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.

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