Mai P. Hoang

10.7k citations
207 papers · 4.8k indexed · 1 hit paper · h-index 39
Topics
Cancer and Skin Lesions (36 papers)Cutaneous Melanoma Detection and Management (34 papers)Sarcoma Diagnosis and Treatment (18 papers)

In The Last Decade

Mai P. Hoang

197 papers receiving 4.7k citations

Hit Papers

An ultraviolet-radiation-independent pathway to melanoma ...20122026201620212012100200300

Peers

Mai P. Hoang
Comparison fields: 5 of 146
  • Oncology 2.0k
  • Molecular Biology 1.2k
  • Dermatology 1.0k
  • Epidemiology 857
  • Surgery 782
Replace Stefania Staibano with:
Stefania Staibano Italy
Rosalie Elenitsas United States
Philippe Saïag France
Martin Cook United Kingdom
Christopher R. Shea United States
Marie‐Françoise Avril France
G. Rassner Germany
Mehrdad Nadji United States
Mario Santinami Italy
Jonathan S. Zager United States
Mai P. Hoang relative to Stefania Staibano Italy Stefania Staibano's profile →
Citations per field
00.5×1.6×
Stefania Staibano · 1×
Citations per year

Countries citing papers authored by Mai P. Hoang

Since Specialization
Citations

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

Fields of papers citing papers by Mai P. Hoang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mai P. Hoang. 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 Mai P. Hoang. The network helps show where Mai P. Hoang may publish in the future.

Co-authorship network of co-authors of Mai P. Hoang

This figure shows the co-authorship network connecting the top 25 collaborators of Mai P. Hoang. A scholar is included among the top collaborators of Mai P. Hoang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mai P. Hoang. Mai P. Hoang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 5
2 1
3 1
4 1
5 1
6 0
7 6
8 18
9 10
10 13
11 12
12 12
13 87
14 37
15 1
16 53
17 59
18 26
19 32
20 40

About Mai P. Hoang

Mai P. Hoang is a scholar working on Dermatology, Oncology and Pathology and Forensic Medicine, having authored 207 papers that have together received 4.8k indexed citations. Recurring topics across this work include Cancer and Skin Lesions (36 papers), Cutaneous Melanoma Detection and Management (34 papers) and Sarcoma Diagnosis and Treatment (18 papers). The work is most often cited by research in Dermatology (1.0k citations), Oncology (2.0k citations) and Biophysics (253 citations). Mai P. Hoang has collaborated with scholars based in United States, Poland and Taiwan. Frequent co-authors include Jorge Albores‐Saavedra, Whitney A. High, Martín C. Mihm, Payal Kapur, Meera Mahalingam, Robin H. Amirkhan, Dinesh Rakheja, M. Angélica Selim, Mark C. Mochel and Adriano Piris. Their work appears in journals such as Nature, New England Journal of Medicine and Proceedings of the National Academy of Sciences.

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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