Asif Nadeem

1.0k total citations
102 papers, 783 citations indexed

About

Asif Nadeem is a scholar working on Genetics, Molecular Biology and Food Science. According to data from OpenAlex, Asif Nadeem has authored 102 papers receiving a total of 783 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Genetics, 36 papers in Molecular Biology and 17 papers in Food Science. Recurrent topics in Asif Nadeem's work include Genetic and phenotypic traits in livestock (27 papers), Animal Genetics and Reproduction (16 papers) and Genetic diversity and population structure (14 papers). Asif Nadeem is often cited by papers focused on Genetic and phenotypic traits in livestock (27 papers), Animal Genetics and Reproduction (16 papers) and Genetic diversity and population structure (14 papers). Asif Nadeem collaborates with scholars based in Pakistan, China and United States. Asif Nadeem's co-authors include Masroor Ellahi Babar, Maryam Javed, Tanveer Hussain, Faiz‐ul Hassan, M. E. Babar, T. Mushtaq, Muhammad Aslam Mirza, Qingyou Liu, Saif ur Rehman and Tariq Ahmad and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and International Journal of Molecular Sciences.

In The Last Decade

Asif Nadeem

95 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Asif Nadeem Pakistan 16 286 270 160 90 79 102 783
Sung Jong Oh South Korea 17 345 1.2× 157 0.6× 108 0.7× 146 1.6× 76 1.0× 37 688
Qing Zhu China 18 219 0.8× 341 1.3× 390 2.4× 142 1.6× 55 0.7× 53 937
Yuanyuan Zhang China 16 206 0.7× 448 1.7× 152 0.9× 58 0.6× 69 0.9× 70 1.1k
Jianping Quan China 14 323 1.1× 284 1.1× 190 1.2× 152 1.7× 67 0.8× 25 650
Christine Große‐Brinkhaus Germany 18 302 1.1× 236 0.9× 212 1.3× 120 1.3× 110 1.4× 51 732
Shengyue Ji China 14 83 0.3× 291 1.1× 81 0.5× 81 0.9× 79 1.0× 26 545
Yanyan Sun China 18 322 1.1× 285 1.1× 366 2.3× 175 1.9× 46 0.6× 98 995
L. Kruijt Netherlands 15 163 0.6× 181 0.7× 188 1.2× 36 0.4× 61 0.8× 37 603
Fang‐Xi Yang China 12 268 0.9× 204 0.8× 163 1.0× 79 0.9× 49 0.6× 25 588
Yaxiong Jia China 15 225 0.8× 164 0.6× 279 1.7× 30 0.3× 65 0.8× 37 614

Countries citing papers authored by Asif Nadeem

Since Specialization
Citations

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

Fields of papers citing papers by Asif Nadeem

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asif Nadeem. 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 Asif Nadeem. The network helps show where Asif Nadeem may publish in the future.

Co-authorship network of co-authors of Asif Nadeem

This figure shows the co-authorship network connecting the top 25 collaborators of Asif Nadeem. A scholar is included among the top collaborators of Asif Nadeem 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 Asif Nadeem. Asif Nadeem 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.
Nadeem, Asif, et al.. (2024). A biochemical and histological evaluation of in vivo exposure of bisphenol P for multi-organ toxicity and pathology in rats. Toxicology and Industrial Health. 40(4). 194–205. 4 indexed citations
2.
3.
Nadeem, Asif, et al.. (2022). Genome wide association study for growth in Pakistani dromedary camels using genotyping-by-sequencing. Animal Bioscience. 36(7). 1010–1021. 3 indexed citations
4.
Nadeem, Asif, et al.. (2022). Genomic and Computational Analysis of Novel SNPs in TNP1 Gene Promoter Region of Bos indicus Breeding Bulls. Genetics Research. 2022. 1–6. 1 indexed citations
5.
Javed, Maryam, et al.. (2022). Genomic analysis of arginine vasopressin gene in riverine buffalo reveals its potential association with silent estrus behavior. Molecular Biology Reports. 49(10). 9315–9324. 2 indexed citations
6.
Hassan, Faiz‐ul, Asif Nadeem, Zhipeng Li, et al.. (2021). Role of Peroxisome Proliferator-Activated Receptors (PPARs) in Energy Homeostasis of Dairy Animals: Exploiting Their Modulation through Nutrigenomic Interventions. International Journal of Molecular Sciences. 22(22). 12463–12463. 30 indexed citations
7.
Kashi, Zahra, Imran Rashid, Muhammad Yasir Zahoor, et al.. (2020). MOLECULAR SCREENING OF COMPLEX VERTEBRAL MALFORMATION AND CITRULLINEMIA CARRIERS IN PAKISTANI NILI-RAVI BUFFALO (BUBALUS BUBALIS) BREEDING BULLS. The Journal of Animal and Plant Sciences. 30(3). 1 indexed citations
8.
Shehzad, Wasim, Imran Rashid, Muhammad Yasir Zahoor, et al.. (2020). DNA BASED GENDER IDENTIFICATION OF MEAT SAMPLES. The Journal of Animal and Plant Sciences. 30(6). 1 indexed citations
9.
Bräuning, Rüdiger, et al.. (2020). SNP discovery and population structure analysis in Lassi and Marecha camel breeds using a genotyping by sequencing method. Animal Genetics. 51(4). 620–623. 4 indexed citations
10.
Khatkar, Mehar S., et al.. (2020). Analysis of variation in growth and spline-based growth models for Marecha and Lassi dromedary camels. Tropical Animal Health and Production. 52(5). 2309–2317. 2 indexed citations
11.
12.
Hussain, Tanveer, et al.. (2016). CHROMATOGRAPHIC DETERMINATION OF RESIDUAL CONTENTS OF PESTICIDES IN RICE SAMPLES FROM DIFFERENT GEOGRAPHICAL REGIONS OF PUNJAB. SHILAP Revista de lepidopterología. 6(2). 155–160. 4 indexed citations
13.
Nadeem, Asif, et al.. (2016). Ameliorate maneuver for transformation of Lactobacillus strains by electroporation with IBDV-vp2 chemically engineered expression vector.. The Journal of Animal and Plant Sciences. 26(3). 814–822. 2 indexed citations
14.
Javed, Maryam, et al.. (2015). Comparative analysis of highly conserved ZFX gene sequences of Pakistani river buffalo (Bubalus bubalis) with other bovids.. The Journal of Animal and Plant Sciences. 25(3). 892–895. 3 indexed citations
15.
Hussain, Tanveer, et al.. (2015). A panel of microsatellite markers for genetic diversity and parentage analysis of dog breeds in Pakistan.. The Journal of Animal and Plant Sciences. 25(2). 351–356. 4 indexed citations
16.
Ahmed, Zaheer, Masroor Ellahi Babar, Tanveer Hussain, et al.. (2014). Genetic diversity analysis of Kail sheep by using microsatellite markers.. The Journal of Animal and Plant Sciences. 24(5). 1329–1333. 10 indexed citations
17.
Hussain, Tanveer, et al.. (2013). Microsatellite markers based genetic diversity analysis in Damani and Nachi goat breeds of Pakistan.. Pakistan Veterinary Journal. 33(4). 520–522. 15 indexed citations
18.
Babar, M. E., Tanveer Hussain, Mohd Tajuddin Abdullah, et al.. (2013). Evaluation of genetic resistance to Haemonchus contortus infection in Pakistani sheep breeds.. The Journal of Animal and Plant Sciences. 23(5). 1219–1222. 2 indexed citations
19.
Babar, Masroor Ellahi, Asif Nadeem, Tanveer Hussain, et al.. (2012). Microsatellite marker based genetic diversity among four varieties of Pakistani Aseel chicken.. Pakistan Veterinary Journal. 32(2). 237–241. 23 indexed citations
20.
Benkel, Bernhard F., et al.. (2006). Genetic variability at eight codons of the PrP gene in 9 sheep breeds of Pakistan.. 22–30. 2 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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