Ka Ming Pang

2.8k citations
23 papers · 2.1k indexed · 1 hit paper · h-index 17
Topics
Genetics, Aging, and Longevity in Model Organisms (6 papers)CRISPR and Genetic Engineering (6 papers)Cellular Mechanics and Interactions (4 papers)

In The Last Decade

Ka Ming Pang

23 papers receiving 2.1k citations

Hit Papers

Analysis of the C. elegans Argonaute Family Reveals that ...20062026201220192006100200300400

Peers

Ka Ming Pang
Comparison fields: 5 of 105
  • Molecular Biology 1.6k
  • Aging 692
  • Cell Biology 405
  • Plant Science 384
  • Cancer Research 183
Replace Martin Srayko with:
Martin Srayko Canada
Danielle R. Hamill United States
Todd Nystul United States
Lionel Pintard France
Mike Boxem Netherlands
Diane G. Morton United States
Alison Woollard United Kingdom
Takao Ishidate United States
Peter Askjaer Spain
Marcel Tijsterman Netherlands
Ka Ming Pang relative to Martin Srayko Canada Martin Srayko's profile →
Citations per field
00.5×5.4×
Martin Srayko · 1×
Citations per year

Countries citing papers authored by Ka Ming Pang

Since Specialization
Citations

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

Fields of papers citing papers by Ka Ming Pang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ka Ming Pang. 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 Ka Ming Pang. The network helps show where Ka Ming Pang may publish in the future.

Co-authorship network of co-authors of Ka Ming Pang

This figure shows the co-authorship network connecting the top 25 collaborators of Ka Ming Pang. A scholar is included among the top collaborators of Ka Ming Pang 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 Ka Ming Pang. Ka Ming Pang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 34
3 10
4 23
5 14
6 11
7 339
8
Analysis of the C. elegans Argonaute Family Reveals that Distinct Argonautes Act Sequentially during RNAibreakdown →
492
9 309
10 70
11 64
12 25
13 131
14 4
15 76
16 177
17 133
18 118
19 8
20 24

About Ka Ming Pang

Ka Ming Pang is a scholar working on Aging, Biophysics and Cell Biology, having authored 23 papers that have together received 2.1k indexed citations. Recurring topics across this work include Genetics, Aging, and Longevity in Model Organisms (6 papers), CRISPR and Genetic Engineering (6 papers) and Cellular Mechanics and Interactions (4 papers). The work is most often cited by research in Aging (692 citations), Cell Biology (405 citations) and Molecular Biology (1.6k citations). Ka Ming Pang has collaborated with scholars based in United States, Japan and Portugal. Frequent co-authors include David A. Knecht, Craig C. Mello, Shohei Mitani, Yanxia Bei, Pedro J. Batista, Darryl Conte, Erbay Yigit, Niraj H. Tolia, Martin J. Simard and Leemor Joshua‐Tor. Their work appears in journals such as Cell, Nucleic Acids Research and Genes & Development.

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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