Rahim Dad

950 citations
18 papers · 708 · 1 hit paper · h-index 11

Impact in

Papers in

    • Genetic and phenotypic traits in livestock 2
    • Genetic Mapping and Diversity in Plants and Animals 2

Rahim Dad

18 papers receiving 698 citations

Rahim Dad's Hit Papers

WRKY transcription factors (TFs): Molecular switches to regulate drought, temperature, and salinity stresses in plants 2022 · 155 citations
1550+1+2Years since publication50100150

Peers

Rahim Dad
Comparison fields: 5 of 109
  • Reproductive Medicine 96
  • Agronomy and Crop Science 44
  • Molecular Medicine 19
  • Plant Science 142
  • Health, Toxicology and Mutagenesis 50
Replace Fang-Nong Lai with:
Fang-Nong Lai China
E. Słota Poland
Ayman A. Saleh Egypt
Dipty Singh India
Xiaohu Wu China
Ibrar Muhammad Khan China
Erhui Jin China
Hossein Daghigh Kia Iran
Aizhong Zhang China
Jianjia Su China
Rahim Dad relative to Fang-Nong Lai China Fang-Nong Lai's profile →
Citations per field
00.5×1.5×2.0×
Fang-Nong Lai · 1×
Citations per year

Countries citing papers authored by Rahim Dad

Since Specialization
Citations

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

Fields of papers citing papers by Rahim Dad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Rahim Dad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Rahim Dad Line = papers co-authored together Rahim Dad links everyone, so they are left out of the graph.

All Works

18 of 18 papers shown
#Work
1 2017218
2
WRKY transcription factors (TFs): Molecular switches to regulate drought, temperature, and salinity stresses in plants
Hit paper breakdown →
2022155
3 201768
4 201749
5 201843
6 201735
7 201928
8 201721
9 201721
10 201714
11 202213
12 20179
13 20208
14 20228
15 20186
16 20175
17 20174
18 20183

About Rahim Dad

Rahim Dad is a scholar working on Molecular Biology, Genetics, Pharmacology, Reproductive Medicine and Small Animals, having authored 18 papers that have together received 708 indexed citations. Recurring topics across this work include Sperm and Testicular Function (3 papers), Graph theory and applications (2 papers), Lipid metabolism and biosynthesis (2 papers), Genetic and phenotypic traits in livestock (2 papers), Milk Quality and Mastitis in Dairy Cows (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Reproductive Biology and Fertility (2 papers) and Rings, Modules, and Algebras (1 paper). The work is most often cited by research in Reproductive Medicine (96 citations), Agronomy and Crop Science (44 citations), Molecular Medicine (19 citations), Plant Science (142 citations) and Health, Toxicology and Mutagenesis (50 citations). Rahim Dad has collaborated with scholars based in China, Pakistan and Saudi Arabia. Frequent co-authors include Li‐Jun Huo, Dinesh Bhattarai, Zia Ur Rehman, Hira Sajjad Talpur, Farhan Anwar Khan, Di Wu, Li Wang, Muneer Ahmed Khoso, Musrat Ali and Qurban Ali. Their work appears in journals such as Microbial Pathogenesis, Oncotarget, Symmetry, Journal of Dairy Research and Frontiers in Pharmacology.

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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