Malcolm G. Semple

41.0k total citations · 1 hit paper
121 papers, 3.0k citations indexed

About

Malcolm G. Semple is a scholar working on Infectious Diseases, Epidemiology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Malcolm G. Semple has authored 121 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Infectious Diseases, 40 papers in Epidemiology and 18 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Malcolm G. Semple's work include Respiratory viral infections research (21 papers), COVID-19 Clinical Research Studies (19 papers) and Influenza Virus Research Studies (16 papers). Malcolm G. Semple is often cited by papers focused on Respiratory viral infections research (21 papers), COVID-19 Clinical Research Studies (19 papers) and Influenza Virus Research Studies (16 papers). Malcolm G. Semple collaborates with scholars based in United Kingdom, United States and Singapore. Malcolm G. Semple's co-authors include Rosalind L. Smyth, Peter Openshaw, Jonathan S. Nguyen‐Van‐Tam, C. Anthony Hart, Wei Shen Lim, Paul McNamara, Angela Cowell, W. Dove, Julie Greensill and P. Shears and has published in prestigious journals such as The Lancet, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Malcolm G. Semple

116 papers receiving 3.0k citations

Hit Papers

Risk prediction of covid-19 related death and hospital ad... 2021 2026 2022 2024 2021 50 100 150

Peers

Malcolm G. Semple
Comparison fields: 5 of 154
  • Infectious Diseases 1.4k
  • Epidemiology 1.2k
  • Pulmonary and Respiratory Medicine 460
  • Modeling and Simulation 300
  • Immunology 212
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Citations per field, relative to Malcolm G. Semple
Malcolm G. Semple · 1×
Citations per year, relative to Malcolm G. Semple
Malcolm G. Semple · 1×

Countries citing papers authored by Malcolm G. Semple

Since Specialization
Citations

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

Fields of papers citing papers by Malcolm G. Semple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm G. Semple. 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 Malcolm G. Semple. The network helps show where Malcolm G. Semple may publish in the future.

Co-authorship network of co-authors of Malcolm G. Semple

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm G. Semple. A scholar is included among the top collaborators of Malcolm G. Semple based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Malcolm G. Semple. Malcolm G. Semple is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 0
2 2
3 5
4 4
5 2
6 22
7 0
8 5
9 21
10 26
11 1
12 175
13 1
14 85
15 3
16 35
17
Comparing articulatory images: An MRI / Ultrasound Tongue Image database
3
18 1
19
Steps towards a Non-Invasive Biomarker of Uterine Fibroid Morphology.
1
20 94

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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