Archana Yadav

2.8k total citations · 1 hit paper
83 papers, 2.0k citations indexed

About

Archana Yadav is a scholar working on Plant Science, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Archana Yadav has authored 83 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Plant Science, 18 papers in Materials Chemistry and 14 papers in Molecular Biology. Recurrent topics in Archana Yadav's work include Plant-Microbe Interactions and Immunity (11 papers), Nanoparticles: synthesis and applications (7 papers) and Essential Oils and Antimicrobial Activity (7 papers). Archana Yadav is often cited by papers focused on Plant-Microbe Interactions and Immunity (11 papers), Nanoparticles: synthesis and applications (7 papers) and Essential Oils and Antimicrobial Activity (7 papers). Archana Yadav collaborates with scholars based in India, Nigeria and United States. Archana Yadav's co-authors include Archana Moni Das, Ratul Saikia, Tarun C. Bora, Abhay Prakash Mishra, A. R. Nautiyal, Harish Chandra, Babita Patni, Rupak K. Sarma, R. N. S. Yadav and B.K. Gogoi and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Journal of Cleaner Production.

In The Last Decade

Archana Yadav

75 papers receiving 1.9k citations

Hit Papers

Antimicrobial Resistance and the Alternative Resources wi... 2017 2026 2020 2023 2017 50 100 150 200 250

Peers

Archana Yadav
Comparison fields: 5 of 128
  • Plant Science 760
  • Materials Chemistry 378
  • Molecular Biology 343
  • Pharmacology 221
  • Organic Chemistry 210
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Citations per field, relative to Archana Yadav
Archana Yadav · 1×
Citations per year, relative to Archana Yadav
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Countries citing papers authored by Archana Yadav

Since Specialization
Citations

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

Fields of papers citing papers by Archana Yadav

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Archana Yadav

This figure shows the co-authorship network connecting the top 25 collaborators of Archana Yadav. A scholar is included among the top collaborators of Archana 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 Archana Yadav. Archana 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 0
2 1
3 4
4 34
5 18
6 4
7 2
8 8
9 0
10 5
11 13
12 7
13 9
14 51
15 31
16 29
17
Cloning, In silico analysis, Expression and testing of Immune-potential of outer membrane protein ( Omp 87) of Pasteurella multocida serotype B: 2
1
18
Analysis of bio hydrogen production propensity of mixed consortium on food waste- A preliminary study
1
19
Substituted dithiohydrazodicarbonamides as corrosion inhibitor for copper in 3.5% NaCl solution.
2
20 47

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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