Avinash Chander

44 papers receiving 717 citations

Peers

Avinash Chander
Comparison fields: 5 of 67
  • Endocrine and Autonomic Systems 208
  • Pulmonary and Respiratory Medicine 383
  • Molecular Biology 350
  • Biochemistry 32
  • Pediatrics, Perinatology and Child Health 69
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Ji Hua China
C G Duck-Chong Australia
Susan L. Church United States
T Björck Sweden
Nora Stern Israel
Mir Shamsuddin United States
Yoshitaka Murata Japan
F. X. Galen France
Eiji Kutoh Japan
O. Sonne Denmark
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Citations per year

Countries citing papers authored by Avinash Chander

Since Specialization
Citations

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

Fields of papers citing papers by Avinash Chander

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200283
2 200650
3 199140
4 198837
5 198235
6 199430
7 199730
8 199628
9 199627
10 201226
11 200126
12 198425
13 201824
14 199320
15 200718
16 201317
17 199216
18 200016
19 199515
20 200514

About Avinash Chander

Avinash Chander is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Endocrine and Autonomic Systems, Pediatrics, Perinatology and Child Health and Cell Biology, having authored 47 papers that have together received 750 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (28 papers), Neuroscience of respiration and sleep (15 papers), S100 Proteins and Annexins (10 papers), Inhalation and Respiratory Drug Delivery (7 papers), Neonatal Health and Biochemistry (7 papers), Respiratory Support and Mechanisms (5 papers), Hemoglobin structure and function (5 papers) and Metabolism and Genetic Disorders (4 papers). The work is most often cited by research in Endocrine and Autonomic Systems (208 citations), Pulmonary and Respiratory Medicine (383 citations), Molecular Biology (350 citations), Biochemistry (32 citations) and Pediatrics, Perinatology and Child Health (69 citations). Avinash Chander has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Aron B. Fisher, Namita Sen, Alan R. Spitzer, Gangavaram V. M. Sharma, Kongara Ravinder Reddy, Tudevdagva Gerelsaikhan, Chandra Dodia, Jerome F. Strauss, Xiaoliang Chen and David S. Strayer. Their work appears in journals such as Pediatric Research, Tetrahedron Asymmetry, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids and Experimental Lung Research.

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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