Subhash Pokhrel

4.5k citations
93 papers · 2.1k indexed · h-index 23

Impact in

Papers in

Subhash Pokhrel

90 papers receiving 2.0k citations

Peers

Subhash Pokhrel
Comparison fields: 5 of 145
  • Finance 446
  • General Health Professions 737
  • Pediatrics, Perinatology and Child Health 545
  • Applied Psychology 130
  • Health 185
Replace Zhanchun Feng with:
Zhanchun Feng China
Helen Elsey United Kingdom
Audrey Prost United Kingdom
Kishwar Azad United Kingdom
Siân M. Griffiths Hong Kong
Fouad M. Fouad Lebanon
Akira Shibanuma Japan
David Teye Doku Ghana
Shangfeng Tang China
Emily Mendenhall United States
Subhash Pokhrel relative to Zhanchun Feng China Zhanchun Feng's profile →
Citations per field
00.5×3.2×
Zhanchun Feng · 1×
Citations per year

Countries citing papers authored by Subhash Pokhrel

Since Specialization
Citations

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

Fields of papers citing papers by Subhash Pokhrel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202313
2 20236
3 20223
4 20214
5 20193
6 20194
7 201919
8 201913
9 201813
10 20182
11 201558
12 201516
13
The NICE tobacco return on investment tool
20142
14 201425
15 201233
16 201120
17 20082
18
Applying Propensity Score Matching to Assess the Impact of Community Health Insurance on the Demand for Health Care in Rural Burkina FASO
20071
19 20061
20 200637

About Subhash Pokhrel

Subhash Pokhrel is a scholar working on Health, General Health Professions, Finance, Applied Psychology and Organizational Behavior and Human Resource Management, having authored 93 papers that have together received 2.1k indexed citations. Recurring topics across this work include Smoking Behavior and Cessation (17 papers), Global Health Care Issues (16 papers), Obesity, Physical Activity, Diet (15 papers), Health Systems, Economic Evaluations, Quality of Life (14 papers), Global Maternal and Child Health (14 papers), Healthcare Systems and Reforms (13 papers), Health disparities and outcomes (12 papers) and Global Public Health Policies and Epidemiology (11 papers). The work is most often cited by research in Finance (446 citations), General Health Professions (737 citations), Pediatrics, Perinatology and Child Health (545 citations), Applied Psychology (130 citations) and Health (185 citations). Subhash Pokhrel has collaborated with scholars based in United Kingdom, Germany and Netherlands. Frequent co-authors include Pascale Allotey, Daniel D. Reidpath, Rainer Sauerborn, Nana Anokye, Manuela De Allegri, Julia Fox‐Rushby, Adjima Gbangou, Reiner Leidl, Hengjin Dong and Mamadou Sanon. Their work appears in journals such as Addiction, Health Research Policy and Systems, BMJ Open, Health Policy and International Journal of Environmental Research and Public Health.

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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