Ha Dang

38 papers receiving 1.0k citations

Peers

Ha Dang
Comparison fields: 5 of 106
  • Health Informatics 21
  • Reproductive Medicine 106
  • Oncology 258
  • Infectious Diseases 170
  • Sensory Systems 43
Replace Vasileios Papadopoulos with:
Vasileios Papadopoulos Greece
Alison Hall United Kingdom
Etan Orgel United States
Seyed Alireza Dastgheib Iran
Lars Lund Denmark
Léa Maria Zanini Maciel Brazil
Peter T. Silberstein United States
Daniela Gilardi Italy
Kaspar René Nielsen Denmark
Sahra Emamzadehfard United States
Ha Dang relative to Vasileios Papadopoulos Greece Vasileios Papadopoulos's profile →
Citations per field
00.5×10×14.3×
Vasileios Papadopoulos · 1×
Citations per year

Countries citing papers authored by Ha Dang

Since Specialization
Citations

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

Fields of papers citing papers by Ha Dang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016133
2 2018125
3 201488
4 201579
5 202165
6 201764
7 201957
8 201656
9 201838
10 201634
11 201631
12 201524
13 201823
14 201623
15 202022
16 202119
17 202019
18 202017
19 202116
20 202016

About Ha Dang

Ha Dang is a scholar working on Pediatrics, Perinatology and Child Health, Infectious Diseases, Surgery, Public Health, Environmental and Occupational Health and Epidemiology, having authored 40 papers that have together received 1.0k indexed citations. Recurring topics across this work include Testicular diseases and treatments (8 papers), Childhood Cancer Survivors' Quality of Life (8 papers), Tuberculosis Research and Epidemiology (6 papers), Neutropenia and Cancer Infections (5 papers), Pneumocystis jirovecii pneumonia detection and treatment (4 papers), Acute Lymphoblastic Leukemia research (4 papers), Sarcoma Diagnosis and Treatment (4 papers) and Neuroblastoma Research and Treatments (4 papers). The work is most often cited by research in Health Informatics (21 citations), Reproductive Medicine (106 citations), Oncology (258 citations), Infectious Diseases (170 citations) and Sensory Systems (43 citations). Ha Dang has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Mark Krailo, Lillian Sung, Christopher C. Dvorak, Brian T. Fisher, Michael L. Nieder, Sarah Alexander, James C. Nicholson, Howard N. Hodis, Thomas A. Olson and Roberta Dı́az Brinton. Their work appears in journals such as Journal of Clinical Oncology, Cancer, Pediatric Blood & Cancer, Tropical Medicine and Infectious Disease and JAMA.

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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