R. H. Higa

1.1k citations
32 papers · 703 indexed · h-index 15
Topics
Genetic and phenotypic traits in livestock (10 papers)Protein Structure and Dynamics (7 papers)Genetic Mapping and Diversity in Plants and Animals (7 papers)

In The Last Decade

R. H. Higa

30 papers receiving 693 citations

Peers

R. H. Higa
Comparison fields: 5 of 104
  • Genetics 288
  • Molecular Biology 185
  • Surgery 149
  • Gastroenterology 122
  • Agronomy and Crop Science 76
Replace Liam Cassidy with:
Liam Cassidy Germany
Dorthe von Smolinski Germany
Christina T.L. Chen United States
Shafagh A. Waters Australia
Brian Hassell United States
Yasumasa Kimura Japan
Lee E. Vandivier United States
Jingbo Zhai China
Erpeng Zhu China
Upasana Mangrolia India
R. H. Higa relative to Liam Cassidy Germany Liam Cassidy's profile →
Citations per field
00.5×10×12.7×
Liam Cassidy · 1×
Citations per year

Countries citing papers authored by R. H. Higa

Since Specialization
Citations

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

Fields of papers citing papers by R. H. Higa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. H. Higa. 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 R. H. Higa. The network helps show where R. H. Higa may publish in the future.

Co-authorship network of co-authors of R. H. Higa

This figure shows the co-authorship network connecting the top 25 collaborators of R. H. Higa. A scholar is included among the top collaborators of R. H. Higa 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 R. H. Higa. R. H. Higa 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 1
2 8
3 37
4 24
5 11
6 107
7 16
8 34
9 1
10
An R script for quality control in genome-wide association studies.
0
11
[Colorectal cancer: epidemiology and primary profilaxis].
5
12 4
13 15
14 35
15 108
16 18
17 7
18 32
19 3
20 41

About R. H. Higa

R. H. Higa is a scholar working on Gastroenterology, Agronomy and Crop Science and Genetics, having authored 32 papers that have together received 703 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (10 papers), Protein Structure and Dynamics (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). The work is most often cited by research in Gastroenterology (122 citations), Genetics (288 citations) and Agronomy and Crop Science (76 citations). R. H. Higa has collaborated with scholars based in Brazil, Argentina and United States. Frequent co-authors include Jorge A. Olmos, M. M. de Alencar, Luciana Correia de Almeida Regitano, Maurício A. Mudadu, Graciela Salis, Marcos Eli Buzanskas, Mariano Marcolongo, Danísio Prado Munari, Fabiana B. Mokry and Sarah Laguna Conceição Meirelles. Their work appears in journals such as Nucleic Acids Research, Bioinformatics and Gastroenterology.

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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