Amy H.Y. Tong

18.3k citations
73 papers · 8.5k indexed · 4 hit papers · h-index 41
  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms 6
    • Fungal and yeast genetics research 16
    • Genomics and Chromatin Dynamics 11
    • CRISPR and Genetic Engineering 8
    • RNA modifications and cancer 7
    • RNA Research and Splicing 7
    • RNA and protein synthesis mechanisms 6
  • Cell Biology top 0.5%
    • Cellular transport and secretion 10
  • Pollution top 2%

Amy H.Y. Tong

70 papers receiving 8.4k citations

Hit Papers

Navigating the Chaperone Network: An Integrative Map of P...662200120262009201750010001.5k

Peers

Amy H.Y. Tong
Comparison fields: 5 of 154
  • Aging 255
  • Molecular Biology 7.0k
  • Cell Biology 1.3k
  • Molecular Medicine 219
  • Pollution 359
Replace Yun Zhang with:
Yun Zhang China
Andrew J. Link United States
Bin Tian United States
Lei Young Australia
Kaoru Saigo Japan
Attila Csordás United Kingdom
JoAnne Engebrecht United States
Tom Sargent United States
Florian Reisinger United Kingdom
Eric H. Baehrecke United States
Amy H.Y. Tong relative to Yun Zhang China Yun Zhang's profile →
Citations per field
00.5×1.5×2.2×
Yun Zhang · 1×
Citations per year

Countries citing papers authored by Amy H.Y. Tong

Since Specialization
Citations

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

Fields of papers citing papers by Amy H.Y. Tong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amy H.Y. Tong. 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 Amy H.Y. Tong. The network helps show where Amy H.Y. Tong may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Amy H.Y. Tong, 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 Amy H.Y. Tong Line = papers co-authored together Amy H.Y. Tong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 202414
3 202318
4 20231
5 20232
6 202112
7 201980
8 201730
9 201541
10 201379
11 201275
12 201270
13 2011120
14 200962
15 2005101
16 2003471
17 200382
18 200365
19 2003355
20
Systematic Genetic Analysis with Ordered Arrays of Yeast Deletion Mutantsbreakdown →
20011620

About Amy H.Y. Tong

Amy H.Y. Tong is a scholar working on Aging, Cell Biology and Molecular Biology, having authored 73 papers that have together received 8.5k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (16 papers), Genomics and Chromatin Dynamics (11 papers), Cellular transport and secretion (10 papers), CRISPR and Genetic Engineering (8 papers), RNA modifications and cancer (7 papers), RNA Research and Splicing (7 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers) and RNA and protein synthesis mechanisms (6 papers). The work is most often cited by research in Aging (255 citations), Molecular Biology (7.0k citations) and Cell Biology (1.3k citations). Amy H.Y. Tong has collaborated with scholars based in Canada, United States and Hong Kong. Frequent co-authors include Charles Boone, Ainslie B. Parsons, Marie Evangelista, Gary D. Bader, Christopher W.V. Hogue, Si Lok, Brenda Andrews, Howard Bussey, Mike Tyers and Hong Xu. Their work appears in journals such as Science, Cell and Proceedings of the National Academy of 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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