Sun Loo

960 citations
20 papers · 599 · h-index 12

Impact in

  • Hematology top 2%
    • Acute Myeloid Leukemia Research
    • Hematopoietic Stem Cell Transplantation
    • Chronic Myeloid Leukemia Treatments
  • Genetics top 10%
    • Myeloproliferative Neoplasms: Diagnosis and Treatment

Papers in

    • Acute Myeloid Leukemia Research 18
    • Chronic Myeloid Leukemia Treatments 9
    • Multiple Myeloma Research and Treatments 3
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 3

Sun Loo

18 papers receiving 593 citations

Peers

Sun Loo
Comparison fields: 5 of 31
  • Hematology 454
  • Genetics 98
  • Oncology 94
  • Cancer Research 47
  • Molecular Biology 230
Replace Amanda R. Leonti with:
Amanda R. Leonti United States
Juergen Krauter Germany
Silke Kapp‐Schwoerer Germany
Eva Eßeling Germany
Laurène Fenwarth France
Terrence Bradley United States
Denice Kaylor Hickman United States
Shunsuke Yui Japan
Konstandina Isaakidis Germany
Jean-Michel Cayuela France
Sun Loo relative to Amanda R. Leonti United States Amanda R. Leonti's profile →
Citations per field
00.5×1.5×2.1×
Amanda R. Leonti · 1×
Citations per year

Countries citing papers authored by Sun Loo

Since Specialization
Citations

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

Fields of papers citing papers by Sun Loo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 2020155
2 202266
3 202365
4 202057
5 202356
6 202337
7 202431
8 202424
9 202322
10 202321
11 202015
12 202214
13 20209
14 20227
15 20247
16 20226
17 20255
18 20212
19 20210
20 20260

About Sun Loo

Sun Loo is a scholar working on Hematology, Genetics, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine and Epidemiology, having authored 20 papers that have together received 599 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (18 papers), Chronic Myeloid Leukemia Treatments (9 papers), Acute Lymphoblastic Leukemia research (3 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Multiple Myeloma Research and Treatments (3 papers), Pneumocystis jirovecii pneumonia detection and treatment (2 papers) and Protein Degradation and Inhibitors (2 papers). The work is most often cited by research in Hematology (454 citations), Genetics (98 citations), Oncology (94 citations), Cancer Research (47 citations) and Molecular Biology (230 citations). Sun Loo has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Ing Soo Tiong, Andrew H. Wei, Adam Ivey, Chun Yew Fong, Chong Chyn Chua, John Reynolds, Shaun A. Fleming, Andrew Warwick Roberts, Stephen B. Ting and Stefan K. Bohlander. Their work appears in journals such as Blood, Journal of Clinical Oncology, Cancer Discovery, Blood Advances 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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