Milensu Shanyinde

3.5k citations
24 papers · 1.8k indexed · 2 hit papers · h-index 15

Milensu Shanyinde

23 papers receiving 1.8k citations

Hit Papers

Effects of different types of writt...1922014202620182022100200300400

Peers

Milensu Shanyinde
Comparison fields: 5 of 153
  • Family Practice 104
  • Health Informatics 49
  • Statistics, Probability and Uncertainty 177
  • Health 192
  • Applied Psychology 85
Replace Christine Lainé with:
Christine Lainé United States
Richard J. Willke United States
Nancy A Dreyer United States
Rachael Fleurence United States
Marien González‐Lorenzo Italy
Lori Henault United States
Karthik Murugiah United States
Andrew E. Williams United States
Lotte Steuten Netherlands
Debra P. Ritzwoller United States
Milensu Shanyinde relative to Christine Lainé United States Christine Lainé's profile →
Citations per field
00.5×4.3×
Christine Lainé · 1×
Citations per year

Countries citing papers authored by Milensu Shanyinde

Since Specialization
Citations

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

Fields of papers citing papers by Milensu Shanyinde

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20233
3
Effects of different types of written vaccination information on COVID-19 vaccine hesitancy in the UK (OCEANS-III): a single-blind, parallel-group, randomised controlled trialbreakdown →
2021192
4 202111
5 202046
6 201927
7 20194
8 20186
9 20182
10 201716
11 201543
12 201423
13 201472
14
External validation of multivariable prediction models: a systematic review of methodological conduct and reportingbreakdown →
2014487
15 201458
16 201440
17 2012120
18 2012138
19 2012105
20 2011139

About Milensu Shanyinde

Milensu Shanyinde is a scholar working on Hepatology, Family Practice and Biological Psychiatry, having authored 24 papers that have together received 1.8k indexed citations. Recurring topics across this work include Hepatitis C virus research (5 papers), Liver Disease Diagnosis and Treatment (3 papers), Chronic Disease Management Strategies (2 papers), Melanoma and MAPK Pathways (2 papers), Hepatitis B Virus Studies (2 papers), HIV/AIDS drug development and treatment (2 papers), Cancer Mechanisms and Therapy (2 papers) and Meta-analysis and systematic reviews (2 papers). The work is most often cited by research in Family Practice (104 citations), Health Informatics (49 citations) and Statistics, Probability and Uncertainty (177 citations). Milensu Shanyinde has collaborated with scholars based in United Kingdom, Italy and Netherlands. Frequent co-authors include Ly‐Mee Yu, Gary S. Collins, Rose Wharton, Ruth Pickering, Mark Weatherall, Merryn Voysey, Joris A. H. de Groot, Abdelouahid Tajar, Douglas G. Altman and Susan Dutton. Their work appears in journals such as Circulation, Journal of Clinical Oncology and PLoS ONE.

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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