Prabha Kc

36 papers receiving 1.3k citations

Peers

Prabha Kc
Comparison fields: 5 of 77
  • Endocrine and Autonomic Systems 923
  • Behavioral Neuroscience 77
  • Cognitive Neuroscience 325
  • Social Psychology 295
  • Pulmonary and Respiratory Medicine 440
Replace Daniel B. Zoccal with:
Daniel B. Zoccal Brazil
Aïda Bairam Canada
David M. Baekey United States
Edward H. Vidruk United States
C. N. Olievier Netherlands
Peter G.R. Burke Australia
Roy Kanbar United States
Sérgio L. Cravo Brazil
Immanuela R. Moss United States
Kazuyoshi Otake Japan
Prabha Kc relative to Daniel B. Zoccal Brazil Daniel B. Zoccal's profile →
Citations per field
00.5×1.5×
Daniel B. Zoccal · 1×
Citations per year

Countries citing papers authored by Prabha Kc

Since Specialization
Citations

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

Fields of papers citing papers by Prabha Kc

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011193
2 2004138
3 2002105
4 201084
5 201074
6 201168
7 200166
8 200257
9 201457
10 200553
11 200652
12 201230
13 200330
14 200429
15 200228
16 200427
17 201023
18 201120
19 200819
20 200618

About Prabha Kc

Prabha Kc is a scholar working on Endocrine and Autonomic Systems, Social Psychology, Pulmonary and Respiratory Medicine, Cognitive Neuroscience and Molecular Biology, having authored 36 papers that have together received 1.3k indexed citations. Recurring topics across this work include Neuroscience of respiration and sleep (30 papers), Neuroendocrine regulation and behavior (14 papers), Sleep and Wakefulness Research (10 papers), Neonatal Respiratory Health Research (10 papers), Infant Health and Development (4 papers), Respiratory Support and Mechanisms (3 papers), Neonatal and fetal brain pathology (3 papers) and Asthma and respiratory diseases (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (923 citations), Behavioral Neuroscience (77 citations), Cognitive Neuroscience (325 citations), Social Psychology (295 citations) and Pulmonary and Respiratory Medicine (440 citations). Prabha Kc has collaborated with scholars based in United States, Russia and Israel. Frequent co-authors include Musa A. Haxhiu, Serdia O. Mack, Mingfei Wu, Richard J. Martin, Thomas E. Dick, Özge Altun Köroğlu, Kannan V. Balan, Juliann Di Fiore, Katherine Wang and Catherine Mayer. Their work appears in journals such as Respiratory Physiology & Neurobiology, Journal of Applied Physiology, Neonatology, Advances in experimental medicine and biology and Pediatric 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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