D. K. Sadana

483 total citations
41 papers, 349 citations indexed

About

D. K. Sadana is a scholar working on Agronomy and Crop Science, Genetics and General Agricultural and Biological Sciences. According to data from OpenAlex, D. K. Sadana has authored 41 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Agronomy and Crop Science, 30 papers in Genetics and 12 papers in General Agricultural and Biological Sciences. Recurrent topics in D. K. Sadana's work include Genetic and phenotypic traits in livestock (30 papers), Livestock Management and Performance Improvement (26 papers) and Agricultural Economics and Practices (12 papers). D. K. Sadana is often cited by papers focused on Genetic and phenotypic traits in livestock (30 papers), Livestock Management and Performance Improvement (26 papers) and Agricultural Economics and Practices (12 papers). D. K. Sadana collaborates with scholars based in India. D. K. Sadana's co-authors include R. S. Kataria, Kathiravan Periasamy, Bishnu Prasad Mishra, Manishi Mukesh, Bina Mishra, B. K. Joshi, Monika Sodhi, Ashok Kumar Mohanty, Parvesh Kumari and Amit Kishore and has published in prestigious journals such as Computers and Electronics in Agriculture, Cell Stress and Chaperones and Livestock Science.

In The Last Decade

D. K. Sadana

37 papers receiving 320 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. K. Sadana India 10 228 148 120 59 38 41 349
Onur Yılmaz Türkiye 14 428 1.9× 122 0.8× 177 1.5× 66 1.1× 18 0.5× 75 570
Mahesh Shivanand Dige India 10 175 0.8× 122 0.8× 122 1.0× 64 1.1× 10 0.3× 49 310
İ̇brahim Cemal Türkiye 14 491 2.2× 117 0.8× 172 1.4× 78 1.3× 12 0.3× 48 614
Radovan Kasarda Slovakia 10 514 2.3× 130 0.9× 181 1.5× 62 1.1× 24 0.6× 123 613
D. Řehák Czechia 13 221 1.0× 197 1.3× 209 1.7× 54 0.9× 14 0.4× 33 450
Evans K. Cheruiyot Australia 10 171 0.8× 109 0.7× 129 1.1× 24 0.4× 8 0.2× 15 289
R.K. Splan United States 10 351 1.5× 99 0.7× 90 0.8× 52 0.9× 11 0.3× 19 478
Sanjeev Singh India 10 276 1.2× 69 0.5× 80 0.7× 88 1.5× 6 0.2× 49 383
I. Shaat Egypt 10 301 1.3× 168 1.1× 79 0.7× 35 0.6× 9 0.2× 14 362
Romain Saintilan France 10 249 1.1× 62 0.4× 153 1.3× 36 0.6× 7 0.2× 18 339

Countries citing papers authored by D. K. Sadana

Since Specialization
Citations

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

Fields of papers citing papers by D. K. Sadana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. K. Sadana

This figure shows the co-authorship network connecting the top 25 collaborators of D. K. Sadana. A scholar is included among the top collaborators of D. K. Sadana 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. K. Sadana. D. K. Sadana 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.
Behl, Rahul, D. K. Sadana, Priyanka Banerjee, et al.. (2017). Characterization and microsatellite analysis for genetic diversity and bottlenecks of Spiti donkey. The Indian Journal of Animal Sciences. 87(10). 3 indexed citations
2.
Singh, Pushpendra, Prachi Pundir, & D. K. Sadana. (2015). Physical features and performance of unexplored Sanchori cattle population of Rajasthan state. The Indian Journal of Animal Sciences. 85(8). 2 indexed citations
3.
Singh, Preetam, et al.. (2015). Indigenous cattle of Manipur - Characterization and performance evaluation. The Indian Journal of Animal Sciences. 85(4). 7 indexed citations
4.
Singh, Preetam, et al.. (2014). Indigenous cattle of Tripura- characterisation and performance evaluation. The Indian Journal of Animal Sciences. 84(9). 5 indexed citations
5.
Upadhyay, Abhinav, et al.. (2014). Influence of non-genetic factors on disposal pattern of Sahiwal cattle under an organized farm. The Indian Journal of Animal Sciences. 84(11). 3 indexed citations
6.
Behl, Rahul, et al.. (2014). Characterization ofhsp70Gene Promoter forcis- Acting Elements in Indian Zebu Cattle of Hariana Breed. Animal Biotechnology. 25(3). 160–164. 3 indexed citations
7.
Mishra, Bishnu Prasad, B. Prakash, R. S. Kataria, et al.. (2010). Cytogenetic profiling and mitochondrial DNA analysis reveal existence of swamp buffalo population in Manipur state.. The Indian Journal of Animal Sciences. 80(1). 31–36. 8 indexed citations
8.
Malik, Pradeep Kumar, et al.. (2010). Morpho-metric characteristics of Surti goats and socio-economic status of Surti goat keepers.. The Indian Journal of Animal Sciences. 80(6). 575–577. 2 indexed citations
9.
Ramesha, K. P., et al.. (2010). Modern IPR regime: a boon or a bane?. 62(8). 74–79. 1 indexed citations
10.
Mishra, Bina, B. Aditya Prakash, R. S. Kataria, et al.. (2010). Genetic diversity analysis and cytogenetic profiling of Assamese buffaloes from North-East India. The Indian Journal of Animal Sciences. 80(2). 142–147. 11 indexed citations
11.
Mishra, Bina, R. S. Kataria, Kathiravan Periasamy, & D. K. Sadana. (2009). Microsatellite based genetic characterization of Jaffarabadi buffaloes.. The Indian Veterinary Journal. 86(4). 376–379. 3 indexed citations
12.
Mishra, Bina, R. S. Kataria, B. Prakash, et al.. (2009). Riverine status and genetic structure of Chilika buffalo of eastern India as inferred from cytogenetic and molecular marker‐based analysis. Journal of Animal Breeding and Genetics. 126(1). 69–79. 26 indexed citations
13.
Singh, Palwinder, et al.. (2007). Reproductive performance of Beetal goats in its breeding tract. Indian Journal of Small Ruminants (The). 13(2). 182–185. 8 indexed citations
14.
Sadana, D. K., et al.. (2003). Predictability of Lactation Milk Yield Based on Test Day Values in Murrah Buffaloes. Indian Journal of Animal Research. 37(2). 136–138. 1 indexed citations
15.
Saha, Sujit & D. K. Sadana. (2000). Effect of genetic and non-genetic factors on reproductive traits in Murrah buffaloes.. Indian Journal of Animal Health. 39(1). 41–42. 6 indexed citations
16.
Sadana, D. K., et al.. (2000). Factors affecting some economic traits in Murrah buffaloes. Indian Journal of Animal Research. 34(1). 43–45. 12 indexed citations
17.
Sahana, Goutam & D. K. Sadana. (1999). GENETIC STUDY ON BREEDING EFFICIENCY IN MURRAH BUFFALOES. The Indian Journal of Animal Sciences. 69(10). 842–844.
18.
Sadana, D. K., et al.. (1998). A comparison of the heritability estimates obtained from least-squares ANOVA and REML methods. The Indian Journal of Animal Sciences. 68(9). 942–945. 1 indexed citations
19.
Sadana, D. K., et al.. (1981). Production performance of exotic breeds in India.. Indian Journal of Dairy Science. 34(4). 443–447.
20.
Verma, Gaurav, et al.. (1980). Studies on mortality in buffalo calves.. Indian Journal of Dairy Science. 33(1). 87–90. 3 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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