Subba Rao Indugula

531 citations
14 papers · 222 indexed · h-index 9
Topics
Genetic Associations and Epidemiology (11 papers)Genetic Mapping and Diversity in Plants and Animals (6 papers)Genetic and phenotypic traits in livestock (4 papers)
Journals
SHILAP Revista de lepidopterologíaBloodPLoS ONE

In The Last Decade

Subba Rao Indugula

14 papers receiving 216 citations

Peers

Subba Rao Indugula
Comparison fields: 5 of 67
  • Genetics 91
  • Molecular Biology 61
  • Public Health, Environmental and Occupational Health 39
  • Nephrology 37
  • Epidemiology 32
Replace Geetha Chittoor with:
Geetha Chittoor United States
Debbie S. Benitez United States
Ammar J. Alsheikh United States
Andrea Delbarba Italy
Metin Yıldız Türkiye
Cem Sulu Türkiye
Jong Seo Yoon South Korea
Courtney Myhr United States
Mariana Pereira Antoniassi Brazil
Katherine Silvis United States
Subba Rao Indugula relative to Geetha Chittoor United States Geetha Chittoor's profile →
Citations per field
00.5×3.1×
Geetha Chittoor · 1×
Citations per year

Countries citing papers authored by Subba Rao Indugula

Since Specialization
Citations

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

Fields of papers citing papers by Subba Rao Indugula

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Subba Rao Indugula. 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 Subba Rao Indugula. The network helps show where Subba Rao Indugula may publish in the future.

Co-authorship network of co-authors of Subba Rao Indugula

This figure shows the co-authorship network connecting the top 25 collaborators of Subba Rao Indugula. A scholar is included among the top collaborators of Subba Rao Indugula 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 Subba Rao Indugula. Subba Rao Indugula is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
#WorkIndexed citations
1 5
2 2
3 13
4 2
5 43
6 18
7 4
8 17
9 23
10 8
11 3
12 26
13 26
14 32

About Subba Rao Indugula

Subba Rao Indugula is a scholar working on Genetics, Otorhinolaryngology and Endocrine and Autonomic Systems, having authored 14 papers that have together received 222 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (11 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Nephrology (37 citations), Genetics (91 citations) and Endocrinology, Diabetes and Metabolism (32 citations). Subba Rao Indugula has collaborated with scholars based in United States, Croatia and Samoa. Frequent co-authors include Ranjan Deka, Guangyun Sun, Daniel E. Weeks, Karolina A. Åberg, Stephen T. McGarvey, John Tuitele, Diane T. Smelser, Pavao Rudan, Rebekah Karns and Dai Feng. Their work appears in journals such as SHILAP Revista de lepidopterología, Blood and PLoS ONE.

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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