Arvind K.N. Nandedkar

522 citations
21 papers · 349 indexed · h-index 11
Topics
Protein Hydrolysis and Bioactive Peptides (3 papers)Epilepsy research and treatment (3 papers)Pharmacological Effects and Toxicity Studies (3 papers)
Partner nations
United States

In The Last Decade

Arvind K.N. Nandedkar

20 papers receiving 313 citations

Peers

Arvind K.N. Nandedkar
Comparison fields: 5 of 85
  • Molecular Biology 150
  • Biomedical Engineering 80
  • Rheumatology 49
  • Surgery 46
  • Nutrition and Dietetics 42
Replace Ichiro Ichihara with:
Ichiro Ichihara Japan
R.E.S. Prout United Kingdom
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Arvind K.N. Nandedkar relative to Ichiro Ichihara Japan Ichiro Ichihara's profile →
Citations per field
00.5×
Ichiro Ichihara · 1×
Citations per year

Countries citing papers authored by Arvind K.N. Nandedkar

Since Specialization
Citations

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

Fields of papers citing papers by Arvind K.N. Nandedkar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arvind K.N. Nandedkar. 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 Arvind K.N. Nandedkar. The network helps show where Arvind K.N. Nandedkar may publish in the future.

Co-authorship network of co-authors of Arvind K.N. Nandedkar

This figure shows the co-authorship network connecting the top 25 collaborators of Arvind K.N. Nandedkar. A scholar is included among the top collaborators of Arvind K.N. Nandedkar 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 Arvind K.N. Nandedkar. Arvind K.N. Nandedkar 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
#WorkIndexed citations
1 11
2 126
3 11
4
Hemoglobinopathies in a general and family practice setting.
1
5
Evaluation of albumin-globulin ratio to confirm the clinical stages of sarcoidosis.
3
6 22
7
Neuraminidase production by Candida albicans.
11
8
Comparative study of the lipid composition of particular pathogenic and nonpathogenic species of Mycobacterium.
5
9
Fatty acid composition of mycobacterial lipids as an index of pathogenicity.
4
10 11
11 4
12 6
13 8
14 3
15 10
16 8
17 20
18 29
19 33
20 22

About Arvind K.N. Nandedkar

Arvind K.N. Nandedkar is a scholar working on Genetics, Behavioral Neuroscience and Psychiatry and Mental health, having authored 21 papers that have together received 349 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (3 papers), Epilepsy research and treatment (3 papers) and Pharmacological Effects and Toxicity Studies (3 papers). The work is most often cited by research in Urology (33 citations), Oral Surgery (24 citations) and Rheumatology (49 citations). Arvind K.N. Nandedkar has collaborated with scholars based in United States. Frequent co-authors include Vishwas Paralkar, A. Hari Reddi, Hynda K. Kleinman, Richard H. Pointer, Soma Kumar, Felix Friedberg, Sonya K. Sobrian, Gordon F. Fairclough, Henn Kutt and Peter Riesz. Their work appears in journals such as Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Archives of Biochemistry and Biophysics.

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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