Shiv Kumar Yadav

674 total citations
49 papers, 445 citations indexed

About

Shiv Kumar Yadav is a scholar working on Plant Science, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Shiv Kumar Yadav has authored 49 papers receiving a total of 445 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 9 papers in Molecular Biology and 6 papers in Cellular and Molecular Neuroscience. Recurrent topics in Shiv Kumar Yadav's work include Cassava research and cyanide (4 papers), Pain Mechanisms and Treatments (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Shiv Kumar Yadav is often cited by papers focused on Cassava research and cyanide (4 papers), Pain Mechanisms and Treatments (4 papers) and Neuroscience and Neuropharmacology Research (4 papers). Shiv Kumar Yadav collaborates with scholars based in India, China and United States. Shiv Kumar Yadav's co-authors include Firoz Hossain, Nepolean Thirunavukkarasu, Krishan Kumar, Alok Kumar Yadav, Rinku Sharma, Jitendra Singh, Rahul Bhattacharya, Rahul Bhattacharya, Pradeep Kumar Gupta and Dhirendra Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Gene and Life Sciences.

In The Last Decade

Shiv Kumar Yadav

44 papers receiving 438 citations

Peers

Shiv Kumar Yadav
Comparison fields: 5 of 102
  • Plant Science 149
  • Molecular Biology 143
  • Food Science 55
  • Genetics 53
  • Health, Toxicology and Mutagenesis 38
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Countries citing papers authored by Shiv Kumar Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Shiv Kumar Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Shiv Kumar Yadav. 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 Shiv Kumar Yadav. The network helps show where Shiv Kumar Yadav may publish in the future.

Co-authorship network of co-authors of Shiv Kumar Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Shiv Kumar Yadav. A scholar is included among the top collaborators of Shiv Kumar Yadav 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 Shiv Kumar Yadav. Shiv Kumar Yadav 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
# Work Indexed citations
1 2
2 3
3 10
4 11
5
Effects of different meteorological variables on physiological parameters in black Bengal goat
1
6 16
7 1
8 27
9 43
10
Molecular characterization of niger [ Guizotia abyssinica (L.f.) Cass.] germplasms diverse for oil parameters
1
11
Expression Pattern of SuperoxideDismutase Under Drought Stress in Maize
5
12 8
13 6
14 9
15
Assessment of seed quality and oil content in different branches of Indian mustard (Brassica juncea) cultivars at different storage intervals
3
16
Seasonal variations in seminal plasma protein profile of Barbari goats.
1
17 2
18 28
19 22
20
An Efficient and Rapid Method of DNA Extraction For Molecular Marker Studies in Cotton (Gossypium hirsutum L.)
1

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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