Rakesh Patidar

570 total citations
24 papers, 425 citations indexed

About

Rakesh Patidar is a scholar working on Molecular Medicine, Molecular Biology and Pollution. According to data from OpenAlex, Rakesh Patidar has authored 24 papers receiving a total of 425 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Medicine, 6 papers in Molecular Biology and 6 papers in Pollution. Recurrent topics in Rakesh Patidar's work include Antibiotic Resistance in Bacteria (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers) and Pressure Ulcer Prevention and Management (3 papers). Rakesh Patidar is often cited by papers focused on Antibiotic Resistance in Bacteria (8 papers), Pharmaceutical and Antibiotic Environmental Impacts (5 papers) and Pressure Ulcer Prevention and Management (3 papers). Rakesh Patidar collaborates with scholars based in Canada, India and Saudi Arabia. Rakesh Patidar's co-authors include Ayush Kumar, Anjali Y. Bhagirath, Kangmin Duan, Xiaoxue Ma, Yanqi Li, Annemieke Farenhorst, Dinesh M. Fernando, Ehsan Khafipour, Nazim Çiçek and Richard Sparling and has published in prestigious journals such as Applied and Environmental Microbiology, Bioresource Technology and Scientific Reports.

In The Last Decade

Rakesh Patidar

21 papers receiving 414 citations

Peers

Rakesh Patidar
Comparison fields: 5 of 83
  • Molecular Medicine 159
  • Pollution 154
  • Molecular Biology 132
  • Infectious Diseases 66
  • Endocrinology 62
Replace Céline Heinemann with:
Céline Heinemann Germany
Mutshiene Deogratias Ekwanzala South Africa
Mykhailo Savin Germany
Katrin Harms Germany
Sara Gharavi Iran
Anca Farkas Romania
Margaux Gaschet France
Shahbaz Raza South Korea
Krista Liguori United States
Larry Obi South Africa
Céline Heinemann Germany View profile →
Citations per field, relative to Rakesh Patidar
Rakesh Patidar · 1×
Citations per year, relative to Rakesh Patidar
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Countries citing papers authored by Rakesh Patidar

Since Specialization
Citations

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

Fields of papers citing papers by Rakesh Patidar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh Patidar

This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh Patidar. A scholar is included among the top collaborators of Rakesh Patidar 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 Rakesh Patidar. Rakesh Patidar 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 9
2 4
3 6
4 5
5 37
6 21
7 6
8 114
9 4
10 15
11 17
12 15
13 19
14 113
15 1
16
Antimicrobial Properties and Characterization of Phytoconstituents of the Leaf Extracts of Some Medicinal Plants
6
17 3
18 0
19 1
20
Anti-inflammatory Activity of Mimosa pudica Linn. (Mimosaceae) Leaves : An Ethnpharmacological study
5

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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