Avinash Chander

849 citations
46 papers · 711 · h-index 17

Impact in

Papers in

Avinash Chander

46 papers receiving 699 citations

Peers

Avinash Chander
Comparison fields: 5 of 68
  • Endocrine and Autonomic Systems 201
  • Pulmonary and Respiratory Medicine 363
  • Molecular Biology 348
  • Organic Chemistry 109
  • Biochemistry 27
Replace Ji Hua with:
Ji Hua China
Susan L. Church United States
Masahiko Ueno Japan
Nancy S. Nicholson United States
Laurence Walch France
Nora Stern Israel
Yoshitaka Murata Japan
Iraimoudi S. Ayene United States
Mitsuru Notoya Japan
Birgit Fichtlscherer Germany
Avinash Chander relative to Ji Hua China Ji Hua's profile →
Citations per field
00.5×3.4×
Ji Hua · 1×
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 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200283
2 200646
3 199135
4 198834
5 198234
6 199430
7 199730
8 199628
9 199624
10 198424
11 201223
12 201823
13 200122
14 199319
15 200717
16 199216
17 200016
18 201315
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 46 papers that have together received 711 indexed citations. Recurring topics across this work include Neonatal Respiratory Health Research (29 papers), Neuroscience of respiration and sleep (17 papers), S100 Proteins and Annexins (10 papers), Neonatal Health and Biochemistry (7 papers), Respiratory Support and Mechanisms (6 papers), Inhalation and Respiratory Drug Delivery (6 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 (201 citations), Pulmonary and Respiratory Medicine (363 citations), Molecular Biology (348 citations), Organic Chemistry (109 citations) and Biochemistry (27 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, Xiaoliang Chen, Jerome F. Strauss and David S. Strayer. Their work appears in journals such as Pediatric Research, Tetrahedron Asymmetry, Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids, Biochimica et Biophysica Acta (BBA) - Molecular Cell Research and American Journal of Respiratory Cell and Molecular Biology.

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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