Kha Le

42 papers receiving 1.2k citations

Kha Le's Hit Papers

Vorasidenib and ivosidenib in IDH1-mutant low-grade glioma: a randomized, perioperative phase 1 trial 2023 · 123 citations
1230+4+8Years since publication50100150200250

Peers

Kha Le
Comparison fields: 5 of 98
  • Ophthalmology 547
  • Genetics 180
  • Radiology, Nuclear Medicine and Imaging 333
  • Cancer Research 93
  • Immunology 117
Replace Choong‐kun Lee with:
Choong‐kun Lee South Korea
Conleth G. Murphy Ireland
Siew‐Kee Low Japan
Shrihari S. Kadkol United States
Zhenling Yao United States
Giuseppe Lamberti Italy
Jacopo Pigozzo Italy
Edward J. Lee United States
Changqing Ma United States
Ruud Clarijs Netherlands
Kha Le relative to Choong‐kun Lee South Korea Choong‐kun Lee's profile →
Citations per field
00.5×11.4×
Choong‐kun Lee · 1×
Citations per year

Countries citing papers authored by Kha Le

Since Specialization
Citations

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

Fields of papers citing papers by Kha Le

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Systemic pharmacokinetics following intravitreal injections of ranibizumab, bevacizumab or aflibercept in patients with neovascular AMD
Hit paper breakdown →
2014292
2
SYSTEMIC PHARMACOKINETICS AND PHARMACODYNAMICS OF INTRAVITREAL AFLIBERCEPT, BEVACIZUMAB, AND RANIBIZUMAB
Hit paper breakdown →
2017253
3 2017153
4
Vorasidenib and ivosidenib in IDH1-mutant low-grade glioma: a randomized, perioperative phase 1 trial
Hit paper breakdown →
2023123
5 201865
6 201962
7 201440
8 199934
9 201525
10 201824
11 201923
12 200722
13 201516
14 200911
15 202011
16 20189
17 20228
18 20217
19 20197
20 20207

About Kha Le

Kha Le is a scholar working on Molecular Biology, Epidemiology, Genetics, Radiology, Nuclear Medicine and Imaging and Cancer Research, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Hepatitis B Virus Studies (10 papers), Glioma Diagnosis and Treatment (8 papers), Hepatitis C virus research (6 papers), Radiomics and Machine Learning in Medical Imaging (6 papers), Retinal Diseases and Treatments (6 papers), Cancer, Hypoxia, and Metabolism (6 papers), Cancer Genomics and Diagnostics (4 papers) and Liver Disease Diagnosis and Treatment (3 papers). The work is most often cited by research in Ophthalmology (547 citations), Genetics (180 citations), Radiology, Nuclear Medicine and Imaging (333 citations), Cancer Research (93 citations) and Immunology (117 citations). Kha Le has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Dante J. Pieramici, Robert L. Avery, Dilsher S. Dhoot, Alessandro Castellarin, Melvin Rabena, Nathan Steinle, Ma'an Nasir, Stephen Couvillion, Robert F. See and Maurício Maia. Their work appears in journals such as Journal of Hepatology, Journal of Clinical Oncology, Blood, Neuro-Oncology and CPT Pharmacometrics & Systems Pharmacology.

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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