Keshab Subedi

438 citations
26 papers · 268 · h-index 9

Impact in

Papers in

Keshab Subedi

22 papers receiving 259 citations

Peers

Keshab Subedi
Comparison fields: 5 of 75
  • Clinical Psychology 64
  • Modeling and Simulation 11
  • Emergency Medicine 22
  • Infectious Diseases 36
  • Neurology 28
Replace Mariangela Valentina Puci with:
Mariangela Valentina Puci Italy
David R. Soriano‐Moreno Peru
Jennifer M. Morgan United States
Tej G Stead United States
Neta HaGani Israel
Mohammad Hayatun Nabi Bangladesh
Ryan Hanson United States
Jennifer Brooks United States
Sayaka Horiuchi Japan
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Citations per field
00.5×2.8×
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Citations per year

Countries citing papers authored by Keshab Subedi

Since Specialization
Citations

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

Fields of papers citing papers by Keshab Subedi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202251
2 202050
3 202138
4 202120
5
Hospital length of stay among COVID-19-positive patients.
202116
6 202215
7 202213
8 201810
9 20218
10 20248
11 20247
12 20216
13 20206
14 20215
15 20214
16 20203
17 20222
18 20212
19 20241
20
A Study of Diagnostic Yield, Efficancy and Complications of Ultrasound Guided Renal Biopsy in Different Renal Pathologies
20141

About Keshab Subedi

Keshab Subedi is a scholar working on Emergency Medicine, General Health Professions, Infectious Diseases, Pulmonary and Respiratory Medicine and Oncology, having authored 26 papers that have together received 268 indexed citations. Recurring topics across this work include Emergency and Acute Care Studies (4 papers), COVID-19 Clinical Research Studies (4 papers), COVID-19 and healthcare impacts (4 papers), Neonatal Respiratory Health Research (3 papers), Trauma and Emergency Care Studies (2 papers), Food Security and Health in Diverse Populations (2 papers), Hemoglobinopathies and Related Disorders (2 papers) and Respiratory Support and Mechanisms (2 papers). The work is most often cited by research in Clinical Psychology (64 citations), Modeling and Simulation (11 citations), Emergency Medicine (22 citations), Infectious Diseases (36 citations) and Neurology (28 citations). Keshab Subedi has collaborated with scholars based in United States. Frequent co-authors include Binod Acharya, David S. Bennett, Kathleen McCann, Ram A. Sharma, Terry Horton, Claudine Jurkovitz, Mia A. Papas, David Chen, Federica Bianco and Gregory Dobler. Their work appears in journals such as JAMA Pediatrics, PLoS ONE, Blood, JAMA Network Open and Journal of Intensive Care Medicine.

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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