Yeesim Khew‐Goodall

10.3k citations
46 papers · 6.4k indexed · 1 hit paper · h-index 27
Topics
MicroRNA in disease regulation (9 papers)Cancer-related molecular mechanisms research (7 papers)Protein Tyrosine Phosphatases (7 papers)

In The Last Decade

Yeesim Khew‐Goodall

46 papers receiving 6.3k citations

Hit Papers

The miR-200 family and miR-205 regulate epithelial to mes...2008202620142020200810002.0k3.0k

Peers

Yeesim Khew‐Goodall
Comparison fields: 5 of 126
  • Molecular Biology 4.6k
  • Cancer Research 3.2k
  • Oncology 1.4k
  • Immunology 664
  • Cell Biology 603
Replace Noriko Gotoh with:
Noriko Gotoh Japan
Dirk Geerts Netherlands
Martín E. Fernández-Zapico United States
Seung‐Taek Lee South Korea
H Matsushime United States
Andrew C. Dudley United States
Anna Lasorella United States
Yoshiteru Sasaki Japan
Susan E. Crawford United States
Florian Rambow Belgium
Yeesim Khew‐Goodall relative to Noriko Gotoh Japan Noriko Gotoh's profile →
Citations per field
00.5×1.6×
Noriko Gotoh · 1×
Citations per year

Countries citing papers authored by Yeesim Khew‐Goodall

Since Specialization
Citations

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

Fields of papers citing papers by Yeesim Khew‐Goodall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeesim Khew‐Goodall. 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 Yeesim Khew‐Goodall. The network helps show where Yeesim Khew‐Goodall may publish in the future.

Co-authorship network of co-authors of Yeesim Khew‐Goodall

This figure shows the co-authorship network connecting the top 25 collaborators of Yeesim Khew‐Goodall. A scholar is included among the top collaborators of Yeesim Khew‐Goodall 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 Yeesim Khew‐Goodall. Yeesim Khew‐Goodall 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 2
2 3
3 13
4 7
5
secretome in cancer progression
1
6 22
7 136
8 161
9 110
10 473
11 96
12 73
13 5
14 15
15 180
16 18
17 51
18 21
19 180
20 87

About Yeesim Khew‐Goodall

Yeesim Khew‐Goodall is a scholar working on Immunology and Allergy, Sensory Systems and Cancer Research, having authored 46 papers that have together received 6.4k indexed citations. Recurring topics across this work include MicroRNA in disease regulation (9 papers), Cancer-related molecular mechanisms research (7 papers) and Protein Tyrosine Phosphatases (7 papers). The work is most often cited by research in Cancer Research (3.2k citations), Molecular Biology (4.6k citations) and Sensory Systems (263 citations). Yeesim Khew‐Goodall has collaborated with scholars based in Australia, Switzerland and Malaysia. Frequent co-authors include Mathew A. Vadas, Gregory J. Goodall, Andrew G. Bert, Philip A. Gregory, Gelareh Farshid, Emily Paterson, Anna Tsykin, Simon C. Barry, Jennifer R. Gamble and Cameron P. Bracken. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and The Journal of Cell Biology.

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

Rankless by CCL
2026