Amanda Y. Chong

1.5k citations
15 papers · 132 indexed · h-index 7
Topics
Chromosomal and Genetic Variations (4 papers)Genomics and Phylogenetic Studies (4 papers)vaccines and immunoinformatics approaches (3 papers)

In The Last Decade

Amanda Y. Chong

13 papers receiving 128 citations

Peers

Amanda Y. Chong
Comparison fields: 5 of 63
  • Molecular Biology 46
  • Plant Science 36
  • Ecology 35
  • Genetics 26
  • Immunology 24
Replace Remi‐André Olsen with:
Remi‐André Olsen Sweden
Lee G. Miles Australia
Parice Brandies Australia
Brandon D. Pickett United States
Oksung Chung South Korea
Alice Mouton United States
Guang‐Chen Fang United States
Kneip Christoph Germany
Igor Costa Brazil
Edward S. Rice United States
Amanda Y. Chong relative to Remi‐André Olsen Sweden Remi‐André Olsen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Amanda Y. Chong

Since Specialization
Citations

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

Fields of papers citing papers by Amanda Y. Chong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amanda Y. Chong. 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 Amanda Y. Chong. The network helps show where Amanda Y. Chong may publish in the future.

Co-authorship network of co-authors of Amanda Y. Chong

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 0
3 1
4 1
5 8
6 9
7 7
8 2
9 25
10 36
11 1
12 5
13 23
14 11
15
Genetic variation in the MHC of the Collared peccary: A potential model for the effects of captive breeding on the MHC
3

About Amanda Y. Chong

Amanda Y. Chong is a scholar working on Microbiology, Paleontology and Immunology, having authored 15 papers that have together received 132 indexed citations. Recurring topics across this work include Chromosomal and Genetic Variations (4 papers), Genomics and Phylogenetic Studies (4 papers) and vaccines and immunoinformatics approaches (3 papers). The work is most often cited by research in Paleontology (12 citations), Ecology (35 citations) and Immunology (24 citations). Amanda Y. Chong has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Jaime Gongora, Sally R. Isberg, David A. Ray, Jerzy Jurka, Arian F. A. Smit, Kenji K. Kojima, Sylvain Marthey, Simon Y. W. Ho, John St. John and Elise M. Furlan. Their work appears in journals such as PLoS ONE, American Journal of Clinical Nutrition and Philosophical Transactions of the Royal Society B Biological Sciences.

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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