Prawase Wasi

1.7k total citations
38 papers, 1.4k citations indexed

About

Prawase Wasi is a scholar working on Genetics, Hematology and Physiology. According to data from OpenAlex, Prawase Wasi has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 24 papers in Hematology and 10 papers in Physiology. Recurrent topics in Prawase Wasi's work include Hemoglobinopathies and Related Disorders (28 papers), Iron Metabolism and Disorders (16 papers) and Erythrocyte Function and Pathophysiology (10 papers). Prawase Wasi is often cited by papers focused on Hemoglobinopathies and Related Disorders (28 papers), Iron Metabolism and Disorders (16 papers) and Erythrocyte Function and Pathophysiology (10 papers). Prawase Wasi collaborates with scholars based in Thailand, United States and United Kingdom. Prawase Wasi's co-authors include S Na-Nakorn, Suthat Fucharoen, D. J. Weatherall, Pranee Winichagoon, J. B. Clegg, Pensri Pootrakul, S. Pootrakul, M Pornpatkul, Vicharn Panich and Prapon Wilairat and has published in prestigious journals such as Nature, Blood and Annals of the New York Academy of Sciences.

In The Last Decade

Prawase Wasi

38 papers receiving 1.3k citations

Peers

Prawase Wasi
Comparison fields: 5 of 95
  • Genetics 1.1k
  • Hematology 834
  • Physiology 314
  • Pediatrics, Perinatology and Child Health 263
  • Molecular Biology 129
Replace V. Gabutti with:
V. Gabutti Italy
Mary Petrou United Kingdom
Torpong Sanguansermsri Thailand
Abdulrahman Alsultan Saudi Arabia
Malay B. Mukherjee India
Anuja Premawardhena Sri Lanka
Deborah Hurst United States
Alex George United States
M. Angastiniotis Cyprus
Gary Vanasse United States
V. Gabutti Italy View profile →
Citations per field, relative to Prawase Wasi
Prawase Wasi · 1×
Citations per year, relative to Prawase Wasi
Prawase Wasi · 1×

Countries citing papers authored by Prawase Wasi

Since Specialization
Citations

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

Fields of papers citing papers by Prawase Wasi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prawase Wasi

This figure shows the co-authorship network connecting the top 25 collaborators of Prawase Wasi. A scholar is included among the top collaborators of Prawase Wasi 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 Prawase Wasi. Prawase Wasi 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
# Work Indexed citations
1 87
2 85
3 119
4 9
5 96
6 25
7 4
8 21
9 40
10 21
11 10
12 10
13 7
14 12
15 26
16 65
17 28
18 13
19
The histopathologic study of the development of the irradiation-induced leukemia in C57BL mice and of its inhibition by testosterone.
16
20 2

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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