Raghu Upender

547 citations
15 papers · 253 · h-index 9

Impact in

Papers in

Raghu Upender

15 papers receiving 248 citations

Peers

Raghu Upender
Comparison fields: 5 of 59
  • Endocrine and Autonomic Systems 64
  • Experimental and Cognitive Psychology 90
  • Physiology 129
  • Cognitive Neuroscience 95
  • Cardiology and Cardiovascular Medicine 31
Replace Meena Khan with:
Meena Khan United States
М. В. Бочкарев Russia
Walter Libert Belgium
Samantha L. Hollis Australia
Seema Khosla United States
Alison Jagielski United Kingdom
Joseph Espiritu United States
Jennifer J. T. Robert United States
Milan Sova Czechia
Katie L Stone United States
Raghu Upender relative to Meena Khan United States Meena Khan's profile →
Citations per field
00.5×1.6×
Meena Khan · 1×
Citations per year

Countries citing papers authored by Raghu Upender

Since Specialization
Citations

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

Fields of papers citing papers by Raghu Upender

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

15 of 15 papers shown
#Work
1 201972
2 201639
3 201832
4 202227
5 202026
6 202011
7 201411
8 20229
9 20208
10 20178
11 20224
12 20192
13 20182
14 20181
15 20181

About Raghu Upender

Raghu Upender is a scholar working on Physiology, Experimental and Cognitive Psychology, Cognitive Neuroscience, Endocrine and Autonomic Systems and Cardiology and Cardiovascular Medicine, having authored 15 papers that have together received 253 indexed citations. Recurring topics across this work include Obstructive Sleep Apnea Research (7 papers), Sleep and Work-Related Fatigue (4 papers), Sleep and related disorders (4 papers), Atrial Fibrillation Management and Outcomes (3 papers), Sleep and Wakefulness Research (3 papers), Cardiovascular and Diving-Related Complications (2 papers), Neuroscience of respiration and sleep (2 papers) and EEG and Brain-Computer Interfaces (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (64 citations), Experimental and Cognitive Psychology (90 citations), Physiology (129 citations), Cognitive Neuroscience (95 citations) and Cardiology and Cardiovascular Medicine (31 citations). Raghu Upender has collaborated with scholars based in United States. Frequent co-authors include Daniel Fabbri, David T. Kent, Linda Zhang, Zhikui Wei, Bunmi O. Olatunji, Rebecca C. Cox, You Chen, Li Wang, Rameela Chandrasekhar and Arthur S. Walters. Their work appears in journals such as SLEEP, Journal of Clinical Sleep Medicine, Behaviour Research and Therapy, Journal of Primary Care & Community Health and Sleep And Breathing.

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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