Padmaja Sudhakar

1.7k total citations
79 papers, 1.3k citations indexed

About

Padmaja Sudhakar is a scholar working on Organic Chemistry, Water Science and Technology and Neurology. According to data from OpenAlex, Padmaja Sudhakar has authored 79 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Organic Chemistry, 15 papers in Water Science and Technology and 13 papers in Neurology. Recurrent topics in Padmaja Sudhakar's work include Nanomaterials for catalytic reactions (12 papers), Adsorption and biosorption for pollutant removal (11 papers) and Analytical Methods in Pharmaceuticals (8 papers). Padmaja Sudhakar is often cited by papers focused on Nanomaterials for catalytic reactions (12 papers), Adsorption and biosorption for pollutant removal (11 papers) and Analytical Methods in Pharmaceuticals (8 papers). Padmaja Sudhakar collaborates with scholars based in India, United States and Sri Lanka. Padmaja Sudhakar's co-authors include Harnish Soni, Shilpi Kushwaha, Prosun Bhattacharya, Meththika Vithanage, B. Sreedhar, K. Vyas, J. Moses Babu, Jonathan D. Trobe, John Jose and K. Mukkanti and has published in prestigious journals such as Neurology, Bioresource Technology and Chemical Engineering Journal.

In The Last Decade

Padmaja Sudhakar

73 papers receiving 1.2k citations

Peers

Padmaja Sudhakar
Comparison fields: 5 of 113
  • Water Science and Technology 429
  • Materials Chemistry 344
  • Organic Chemistry 296
  • Biomedical Engineering 160
  • Analytical Chemistry 155
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Citations per field, relative to Padmaja Sudhakar
Padmaja Sudhakar · 1×
Citations per year, relative to Padmaja Sudhakar
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Countries citing papers authored by Padmaja Sudhakar

Since Specialization
Citations

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

Fields of papers citing papers by Padmaja Sudhakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Padmaja Sudhakar

This figure shows the co-authorship network connecting the top 25 collaborators of Padmaja Sudhakar. A scholar is included among the top collaborators of Padmaja Sudhakar 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 Padmaja Sudhakar. Padmaja Sudhakar 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 1
2 1
3 2
4 1
5 1
6 4
7
Rare case of Wolfram-like Syndrome case due to a missense WFS1 mutation
1
8 28
9 5
10 14
11 2
12 90
13 7
14
Determination of Clonazepam in chocolate using High Performance Liquid Chromatography and further confirmation by Gas Chromatography- Mass Spectrometry
1
15
Drug prescribing pattern among paediatricians in an out-patient department of tertiary care teaching hospital
5
16 16
17 5
18 25
19
Determination of silver at submicrogram levels by absorption spectrophotometry
3
20
Removal of trace metals with mango seed powder
7

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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