R. A. K. Aggarwal

500 total citations
34 papers, 382 citations indexed

About

R. A. K. Aggarwal is a scholar working on Genetics, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, R. A. K. Aggarwal has authored 34 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Genetics, 20 papers in Agronomy and Crop Science and 4 papers in Molecular Biology. Recurrent topics in R. A. K. Aggarwal's work include Genetic and phenotypic traits in livestock (25 papers), Livestock Management and Performance Improvement (18 papers) and Genetic diversity and population structure (17 papers). R. A. K. Aggarwal is often cited by papers focused on Genetic and phenotypic traits in livestock (25 papers), Livestock Management and Performance Improvement (18 papers) and Genetic diversity and population structure (17 papers). R. A. K. Aggarwal collaborates with scholars based in India, Saudi Arabia and United States. R. A. K. Aggarwal's co-authors include Naresh K. Verma, S. P. Dixit, Sonika Ahlawat, Rashmi Sharma, Jyoti Rana, Anurodh Sharma, Rekha Sharma, Priyanka Mishra, M. S. Tantia and Rajendra Kumar and has published in prestigious journals such as Theriogenology, Genome and Journal of Food Science and Technology.

In The Last Decade

R. A. K. Aggarwal

31 papers receiving 341 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
R. A. K. Aggarwal India 13 280 120 75 61 47 34 382
Anna Trakovická Slovakia 11 352 1.3× 125 1.0× 58 0.8× 100 1.6× 44 0.9× 99 531
I. Shaat Egypt 10 301 1.1× 168 1.4× 57 0.8× 35 0.6× 24 0.5× 14 362
Radovan Kasarda Slovakia 10 514 1.8× 130 1.1× 42 0.6× 62 1.0× 75 1.6× 123 613
Richard Browning United States 14 188 0.7× 259 2.2× 27 0.4× 93 1.5× 27 0.6× 42 537
G. Vonghia Italy 13 144 0.5× 45 0.4× 14 0.2× 71 1.2× 101 2.1× 33 340
Zafer Ulutaş Türkiye 13 349 1.2× 219 1.8× 51 0.7× 35 0.6× 59 1.3× 77 605
Ankit Magotra India 14 344 1.2× 263 2.2× 18 0.2× 61 1.0× 32 0.7× 88 484
K. M. Irvin United States 14 358 1.3× 168 1.4× 30 0.4× 71 1.2× 21 0.4× 30 623
M. Occidente Italy 8 252 0.9× 59 0.5× 33 0.4× 79 1.3× 81 1.7× 10 362
W. Kapelański Poland 13 190 0.7× 48 0.4× 23 0.3× 130 2.1× 35 0.7× 80 538

Countries citing papers authored by R. A. K. Aggarwal

Since Specialization
Citations

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

Fields of papers citing papers by R. A. K. Aggarwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by R. A. K. Aggarwal. 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. A. K. Aggarwal. The network helps show where R. A. K. Aggarwal may publish in the future.

Co-authorship network of co-authors of R. A. K. Aggarwal

This figure shows the co-authorship network connecting the top 25 collaborators of R. A. K. Aggarwal. A scholar is included among the top collaborators of R. A. K. Aggarwal 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. A. K. Aggarwal. R. A. K. Aggarwal 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.
Aggarwal, R. A. K., et al.. (2026). Biomass-derived carbon dots as broad-spectrum adsorbents for industrial wastewater remediation. Inorganic Chemistry Communications. 186. 116280–116280.
2.
3.
Aggarwal, R. A. K., et al.. (2023). Characterization of a unique Sikkimese yak population of India: a multivariate approach. Tropical Animal Health and Production. 55(3). 208–208. 1 indexed citations
4.
Sharma, Rekha, et al.. (2018). Comparative milk metabolite profiling for exploring superiority of indigenous Indian cow milk over exotic and crossbred counterparts. Journal of Food Science and Technology. 55(10). 4232–4243. 22 indexed citations
5.
Sharma, Rekha, Sonika Ahlawat, Himani Sharma, et al.. (2018). Variable sialic acid content in milk of Indian cattle and buffalo across different stages of lactation. Journal of Dairy Research. 86(1). 98–101. 7 indexed citations
6.
Verma, Naresh K., et al.. (2017). Microsatellite based genetic diversity estimation in Sikkim Singharey goat population. The Indian Journal of Animal Sciences. 87(1). 7 indexed citations
7.
Mishra, Priyanka, et al.. (2017). Estimation of genetic diversity and relationship among goats of Maharashtra state. The Indian Journal of Animal Sciences. 87(8). 2 indexed citations
8.
Mishra, Priyanka, et al.. (2015). Genetic diversity estimation in Black Bengal Type goat population using microsatellite markers.. 7. 1044–1050. 1 indexed citations
9.
Verma, Naresh K., et al.. (2015). Characterization, performance and genetic diversity among goats of Odisha. The Indian Journal of Animal Sciences. 85(2). 8 indexed citations
10.
Mishra, Priyanka, Sharique A. Ali, R. A. K. Aggarwal, et al.. (2015). Phenotypic characterization and microsatellite markers based genetic evaluation of Kalahandi goats. The Indian Journal of Animal Sciences. 85(3). 1 indexed citations
11.
Dixit, S. P., et al.. (2013). Phenotypic characteristics, management, performance and genetic variability in Surti breed of goat. The Indian Journal of Animal Sciences. 83(4). 6 indexed citations
12.
Mishra, Priyanka, et al.. (2013). Analysis of Genetic Diversity in Berari Goat Population of Maharashtra State. 3(3). 553–559. 4 indexed citations
13.
Aggarwal, R. A. K., et al.. (2012). Konkan Kanyal-Characters and performance of a newly discovered goat germplasm of Maharashtra. The Indian Journal of Animal Sciences. 82(9). 1079–1081. 6 indexed citations
14.
Verma, Naresh K., et al.. (2010). Phenotypic and genetic characterization of Sangamneri goat breed.. The Indian Journal of Animal Sciences. 80(11). 1109–1114. 14 indexed citations
15.
Mishra, Priyanka, Naresh K. Verma, R. A. K. Aggarwal, & S. P. Dixit. (2010). BREED CHARACTERISTICS AND GENETIC VARIABILITY IN CHANGTHANGI GOATS. The Indian Journal of Animal Sciences. 80(12). 1203–1208. 14 indexed citations
16.
Dixit, S. P., et al.. (2010). Genetic diversity and relationship among southern Indian goat breeds based on microsatellite markers. Small Ruminant Research. 91(2-3). 153–159. 50 indexed citations
17.
Verma, Naresh K., et al.. (2009). Malabari goats: characterization, management, performance and genetic variability.. The Indian Journal of Animal Sciences. 79(8). 813–818. 16 indexed citations
18.
Aggarwal, R. A. K., et al.. (2007). Biometry of frozen–thawed sperm from eight breeds of Indian buffaloes (Bubalus bubalis). Theriogenology. 68(4). 682–686. 11 indexed citations
19.
Sharma, Rashmi, R. A. K. Aggarwal, Rajendra Kumar, Trilochan Mohapatra, & Rashmi Sharma. (2002). Construction of an RAPD linkage map and localization of QTLs for oleic acid level using recombinant inbreds in mustard (Brassica juncea). Genome. 45(3). 467–472. 32 indexed citations
20.
Aggarwal, R. A. K., et al.. (1999). Genetic variation affecting heart rate in Drosophila melanogaster. Genetics Research. 74(2). 121–128. 16 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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