Shanmugam Anandakumar

1.1k citations
30 papers · 844 indexed · 1 hit paper · h-index 12

Shanmugam Anandakumar

27 papers receiving 821 citations

Hit Papers

Review of the efficacy of nanoparticle-based drug deliver...3532023202620242025100200300

Peers

Shanmugam Anandakumar
Comparison fields: 5 of 128
  • Biomaterials 170
  • Pharmaceutical Science 39
  • Molecular Biology 409
  • Molecular Medicine 29
  • Oncology 151
Replace Amarnath Mishra with:
Amarnath Mishra India
Beibei Hu China
Anupama Chaudhary India
Rupa Sanyal India
Reza Yekta Iran
Devendra Pratap Rao India
Ajit Zambre United States
Jingxin Mo China
Tânia Cova Portugal
Zhongyu Wu China
Shanmugam Anandakumar relative to Amarnath Mishra India Amarnath Mishra's profile →
Citations per field
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Amarnath Mishra · 1×
Citations per year

Countries citing papers authored by Shanmugam Anandakumar

Since Specialization
Citations

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

Fields of papers citing papers by Shanmugam Anandakumar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Shanmugam Anandakumar, 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 Shanmugam Anandakumar Line = papers co-authored together Shanmugam Anandakumar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20240
3 20241
4 20242
5 20241
6 20232
7 20226
8 20173
9 201620
10 20155
11 201525
12 201529
13 201459
14 201484
15 201484
16 201421
17 20144
18 201460
19 201117
20
Success and Failure of Software Development: Practitioners' Perspective
20087

About Shanmugam Anandakumar

Shanmugam Anandakumar is a scholar working on Radiological and Ultrasound Technology, Toxicology and Software, having authored 30 papers that have together received 844 indexed citations. Recurring topics across this work include Protein Interaction Studies and Fluorescence Analysis (6 papers), Synthesis and biological activity (2 papers), Machine Learning in Bioinformatics (2 papers), Mitochondrial Function and Pathology (2 papers), Synthesis and Biological Evaluation (2 papers), Occupational Health and Safety Research (2 papers), Lanthanide and Transition Metal Complexes (2 papers) and Synthesis of heterocyclic compounds (2 papers). The work is most often cited by research in Biomaterials (170 citations), Pharmaceutical Science (39 citations) and Molecular Biology (409 citations). Shanmugam Anandakumar has collaborated with scholars based in India, South Korea and United States. Frequent co-authors include Karthikeyan Elumalai, Sivaneswari Srinivasan, Malaichamy Ilanchelian, Krishnamoorthy Shanmugaraj, Arumugam Selva Sharma, Perumal Manivel, S. N. Geethalakshmi, CheolGi Kim, Robert Moonsamy Gengan and Sanil D. Singh. Their work appears in journals such as RSC Advances, Journal of Photochemistry and Photobiology B Biology, Carbon Resources Conversion, Dyes and Pigments and Journal of Quality in Maintenance Engineering.

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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