Tiffany Khong

1.4k citations
52 papers · 908 indexed · h-index 17
  • Hematology top 2%
    • Multiple Myeloma Research and Treatments 42
    • Cancer Genomics and Diagnostics 7
  • Oncology top 10%
    • Peptidase Inhibition and Analysis 12
    • Protein Degradation and Inhibitors 18
    • Histone Deacetylase Inhibitors Research 9
    • Extracellular vesicles in disease 5
    • Ubiquitin and proteasome pathways 5
    • Cancer therapeutics and mechanisms 4
  • Genetics top 10%

Tiffany Khong

49 papers receiving 903 citations

Peers

Tiffany Khong
Comparison fields: 5 of 71
  • Hematology 466
  • Cancer Research 193
  • Oncology 275
  • Molecular Biology 678
  • Genetics 97
Replace Lara Tickenbrock with:
Lara Tickenbrock Germany
Guilhem Requirand France
Maurizio Affer United States
Bryan Ciccarelli United States
Daisy Huynh United States
Victoria M. Garbitt United States
Ernesto Díaz-Flores United States
Paola Storti Italy
Kazumasa Aoyama Japan
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Tiffany Khong relative to Lara Tickenbrock Germany Lara Tickenbrock's profile →
Citations per field
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Lara Tickenbrock · 1×
Citations per year

Countries citing papers authored by Tiffany Khong

Since Specialization
Citations

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

Fields of papers citing papers by Tiffany Khong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tiffany Khong. 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 Tiffany Khong. The network helps show where Tiffany Khong may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20241
4 20233
5 202115
6 20214
7 20219
8 20204
9 201946
10 20184
11 201739
12 20171
13 201423
14 2014144
15 201168
16 201016
17 200911
18 20071
19 200417
20 199920

About Tiffany Khong

Tiffany Khong is a scholar working on Hematology, Oncology and Cancer Research, having authored 52 papers that have together received 908 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (42 papers), Protein Degradation and Inhibitors (18 papers), Peptidase Inhibition and Analysis (12 papers), Histone Deacetylase Inhibitors Research (9 papers), Cancer Genomics and Diagnostics (7 papers), Extracellular vesicles in disease (5 papers), Ubiquitin and proteasome pathways (5 papers) and Cancer therapeutics and mechanisms (4 papers). The work is most often cited by research in Hematology (466 citations), Cancer Research (193 citations) and Oncology (275 citations). Tiffany Khong has collaborated with scholars based in Australia, United States and South Korea. Frequent co-authors include Andrew Spencer, Sridurga Mithraprabhu, Anna Kalff, Annie Chow, Christopher J. Burns, Maoshan Chen, Adam Spencer, Antonia Reale, John Sharkey and Andrew W. Roberts. Their work appears in journals such as Blood, Cancers, British Journal of Haematology, Leukemia and Haematologica.

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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