D. C. Rao

954 total citations
29 papers, 751 citations indexed

About

D. C. Rao is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, D. C. Rao has authored 29 papers receiving a total of 751 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Genetics, 7 papers in Molecular Biology and 7 papers in Plant Science. Recurrent topics in D. C. Rao's work include Genetic Associations and Epidemiology (8 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Genetic and phenotypic traits in livestock (3 papers). D. C. Rao is often cited by papers focused on Genetic Associations and Epidemiology (8 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers) and Genetic and phenotypic traits in livestock (3 papers). D. C. Rao collaborates with scholars based in United States, China and Switzerland. D. C. Rao's co-authors include Robert C. Elston, Robert C. Elston, Kangguang Lin, Guiyun Xu, Jürg Ott, Yangbo Guo, Jinxiang Ma, Newton E. Morton, Charles J. MacLean and Gerald S. Berenson and has published in prestigious journals such as Journal of Affective Disorders, Rapid Communications in Mass Spectrometry and Frontiers in Psychiatry.

In The Last Decade

D. C. Rao

29 papers receiving 729 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. C. Rao United States 15 242 187 119 83 81 29 751
Bram P. Prins United Kingdom 13 222 0.9× 68 0.4× 197 1.7× 71 0.9× 38 0.5× 20 699
Sujana Reddy United States 11 111 0.5× 91 0.5× 141 1.2× 44 0.5× 51 0.6× 19 575
Miho Nagai Japan 13 103 0.4× 205 1.1× 168 1.4× 28 0.3× 92 1.1× 36 773
Sara A. Paciga United States 12 312 1.3× 69 0.4× 349 2.9× 52 0.6× 80 1.0× 15 968
Akimitsu Tsutou Japan 15 85 0.4× 108 0.6× 303 2.5× 77 0.9× 78 1.0× 45 777
F.A. Raymond United States 7 142 0.6× 131 0.7× 336 2.8× 56 0.7× 56 0.7× 10 1.0k
Berit Kerner United States 17 194 0.8× 244 1.3× 175 1.5× 37 0.4× 42 0.5× 35 646
Enrico D’Ambrosio Italy 16 82 0.3× 236 1.3× 139 1.2× 20 0.2× 94 1.2× 38 746
Kaoru Sakamoto Japan 16 88 0.4× 284 1.5× 143 1.2× 17 0.2× 93 1.1× 79 878
Hajime Honda Japan 14 76 0.3× 160 0.9× 223 1.9× 205 2.5× 74 0.9× 30 1.2k

Countries citing papers authored by D. C. Rao

Since Specialization
Citations

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

Fields of papers citing papers by D. C. Rao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. C. Rao

This figure shows the co-authorship network connecting the top 25 collaborators of D. C. Rao. A scholar is included among the top collaborators of D. C. Rao 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 D. C. Rao. D. C. Rao 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
1.
Rao, D. C., et al.. (2024). Construction of a hydrophilic porphyrin-based MOF@COF hybrid via post-synthetic modification for N-glycopeptides analysis in human serum. Analytical Methods. 16(47). 8188–8193. 4 indexed citations
2.
3.
Rao, D. C., et al.. (2022). Construction of boric acid‐functionalized metal–organic frameworks for glycopeptide recognition in the serum of cervical cancer patients. Rapid Communications in Mass Spectrometry. 36(13). e9314–e9314. 14 indexed citations
4.
5.
Rao, D. C., et al.. (2019). <p>Comparative Study of Cognitive Function Between Treatment-Resistant Depressive Patients and First-Episode Depressive Patients</p>. Neuropsychiatric Disease and Treatment. Volume 15. 3411–3417. 19 indexed citations
6.
Rao, D. C., et al.. (2017). Prevalence of mild cognitive impairment and its subtypes in community-dwelling residents aged 65 years or older in Guangzhou, China. Archives of Gerontology and Geriatrics. 75. 70–75. 41 indexed citations
7.
Xu, Guiyun, et al.. (2011). Neuropsychological performance in bipolar I, bipolar II and unipolar depression patients: A longitudinal, naturalistic study. Journal of Affective Disorders. 136(3). 328–339. 156 indexed citations
8.
Hauck, Walter W., Carole Ober, D. C. Rao, & George P. Vogler. (1991). Statistical analysis of outcomes from repeated pregnancies: Effects of HLA sharing on fetal loss rates. Genetic Epidemiology. 8(3). 187–197. 14 indexed citations
9.
Schork, Nicholas J., et al.. (1990). On the asymmetry of biological frequency distributions. Genetic Epidemiology. 7(6). 427–446. 27 indexed citations
10.
Livshits, Gregory, E. Kobyliansky, Y Levi, et al.. (1988). Some biological and social factors of risk associated with the birth of pre‐term infants. Genetic Epidemiology. 5(3). 137–149. 10 indexed citations
11.
Amos, Christopher I., Robert C. Elston, Sathanur R. Srinivasan, et al.. (1987). Linkage and segregation analyses of apolipoproteins A1 and B, and lipoprotein cholesterol levels in a large pedigree with excess coronary heart disease: The Bogalusa heart study. Genetic Epidemiology. 4(2). 115–128. 45 indexed citations
12.
Elston, Robert C., et al.. (1987). Testing the association between polymorphic markers and quantitative traits in pedigrees. Genetic Epidemiology. 4(3). 193–201. 112 indexed citations
13.
George, Varghese, et al.. (1987). Association between polymorphic blood markers and risk factors for cardiovascular disease in a large pedigree. Genetic Epidemiology. 4(4). 267–275. 19 indexed citations
14.
Ott, Jürg, G.M. Lathrop, & D. C. Rao. (1987). Goodness‐of‐fit tests for locus order in three‐point mapping. Genetic Epidemiology. 4(1). 51–57. 6 indexed citations
15.
Amos, Christopher I., A. F. Wilson, S R Srinivasan, et al.. (1986). An approach to the multivariate analysis of high‐density‐lipoprotein cholesterol in a large kindred: The Bogalusa Heart Study. Genetic Epidemiology. 3(4). 255–267. 23 indexed citations
16.
Yu, Pao‐Lo, David Bixler, Patricia A. Goodman, et al.. (1986). Human parotid proline‐rich proteins: Correlation of genetic polymorphisms to dental caries. Genetic Epidemiology. 3(3). 147–152. 24 indexed citations
17.
MacLean, C J, N.E. Morton, R Lew, & D. C. Rao. (1985). Efficiency of lod scores for representing multiple locus linkage data. Genetic Epidemiology. 2(2). 145–154. 13 indexed citations
18.
MacLean, Charles J., et al.. (1985). Construction of conditional lod tables from multiple‐locus linkage data. Genetic Epidemiology. 2(4). 375–386. 2 indexed citations
19.
MacLean, Charles J., Newton E. Morton, & D. C. Rao. (1985). Estimation of myriad haplotype frequencies. Genetic Epidemiology. 2(3). 263–272. 47 indexed citations
20.
Elston, Robert C. & D. C. Rao. (1978). STATISTICAL MODELING AND ANALYSIS IN HUMAN GENETICS. Annual Review of Biophysics and Bioengineering. 7(1). 253–286. 34 indexed citations

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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