Kiat Hoe Ong

2.1k citations
35 papers · 720 indexed · h-index 14
  • Hematology top 5%
    • Multiple Myeloma Research and Treatments 5
    • Acute Myeloid Leukemia Research 4
    • Chronic Myeloid Leukemia Treatments 4
    • Blood Coagulation and Thrombosis Mechanisms 3
  • Genetics top 5%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 5
    • COVID-19 Clinical Research Studies 4
    • Peptidase Inhibition and Analysis 3
    • Protein Degradation and Inhibitors 3

Kiat Hoe Ong

34 papers receiving 703 citations

Peers

Kiat Hoe Ong
Comparison fields: 5 of 80
  • Hematology 210
  • Genetics 199
  • Infectious Diseases 182
  • Internal Medicine 28
  • Oncology 170
Replace Manoranjan Mahapatra with:
Manoranjan Mahapatra India
Lalita Norasetthada Thailand
Liang Piu Koh Singapore
Akiyoshi Miwa Japan
Wanzhuo Xie China
Adisak Tantiworawit Thailand
Deniz Yılmaz Karapınar Türkiye
A. Wehmeier Germany
A. C. Newland United Kingdom
Giuseppe Fioritoni Italy
Kiat Hoe Ong relative to Manoranjan Mahapatra India Manoranjan Mahapatra's profile →
Citations per field
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Manoranjan Mahapatra · 1×
Citations per year

Countries citing papers authored by Kiat Hoe Ong

Since Specialization
Citations

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

Fields of papers citing papers by Kiat Hoe Ong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kiat Hoe Ong. 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 Kiat Hoe Ong. The network helps show where Kiat Hoe Ong may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20242
2 20242
3 20242
4 20237
5 20220
6 20225
7 20227
8 20217
9 202040
10 20163
11 201313
12 201110
13 2011105
14 2011152
15 20091
16 200711
17 200612
18 200526
19 199715
20 199445

About Kiat Hoe Ong

Kiat Hoe Ong is a scholar working on Hematology, Genetics and Infectious Diseases, having authored 35 papers that have together received 720 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (5 papers), COVID-19 Clinical Research Studies (4 papers), Acute Myeloid Leukemia Research (4 papers), Chronic Myeloid Leukemia Treatments (4 papers), Peptidase Inhibition and Analysis (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Hematology (210 citations), Genetics (199 citations) and Infectious Diseases (182 citations). Kiat Hoe Ong has collaborated with scholars based in Singapore, United States and Malaysia. Frequent co-authors include Ponnudurai Kuperan, Bingwen Eugene Fan, Stephrene Seok Wei Chan, Vanessa Cui Lian Chong, K. E. Choo, Stefan Hart, Yuxin Tan, Anthony D. William, Ramesh Jayaraman and Veronica Novotny‐Diermayr.

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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