Grace Macklin

618 citations
17 papers · 361 · h-index 10

Impact in

Papers in

Grace Macklin

15 papers receiving 316 citations

Peers

Grace Macklin
Comparison fields: 5 of 35
  • Cardiology and Cardiovascular Medicine 294
  • Infectious Diseases 208
  • Agronomy and Crop Science 40
  • Pathology and Forensic Medicine 39
  • Immunology 45
Replace Magilé Fonseca with:
Magilé Fonseca Cuba
R. W. Sutter United Kingdom
Alina Tejeda Switzerland
Lai Heng Hung Cuba
Sigrun Roesel Philippines
Elena Samoilovich Belarus
Ahlem Ben Yahia Tunisia
Lee Gaik Chan Malaysia
Tsuey‐Li Lin Taiwan
Elena Terletskaia‐Ladwig Germany
Grace Macklin relative to Magilé Fonseca Cuba Magilé Fonseca's profile →
Citations per field
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Magilé Fonseca · 1×
Citations per year

Countries citing papers authored by Grace Macklin

Since Specialization
Citations

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

Fields of papers citing papers by Grace Macklin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 202095
2 201743
3 202240
4 201739
5 202029
6 201928
7 202221
8 202317
9 202012
10 202212
11 20238
12 20186
13 20204
14 20243
15 20232
16 20212
17 20250

About Grace Macklin

Grace Macklin is a scholar working on Cardiology and Cardiovascular Medicine, Infectious Diseases, Epidemiology, Immunology and Pathology and Forensic Medicine, having authored 17 papers that have together received 361 indexed citations. Recurring topics across this work include Viral Infections and Immunology Research (15 papers), Viral gastroenteritis research and epidemiology (8 papers), SARS-CoV-2 and COVID-19 Research (4 papers), Immunodeficiency and Autoimmune Disorders (3 papers), Respiratory viral infections research (3 papers), Whipple's Disease and Interleukins (2 papers), Parasites and Host Interactions (2 papers) and Celiac Disease Research and Management (1 paper). The work is most often cited by research in Cardiology and Cardiovascular Medicine (294 citations), Infectious Diseases (208 citations), Agronomy and Crop Science (40 citations), Pathology and Forensic Medicine (39 citations) and Immunology (45 citations). Grace Macklin has collaborated with scholars based in Switzerland, United States and United Kingdom. Frequent co-authors include Ondrej Mach, Ananda S Bandyopadhyay, Roland W. Sutter, Nicholas C. Grassly, Kathleen O’Reilly, Ousmane M. Diop, Ajay Kumar Goel, Darin Zehrung, Courtney Jarrahian and John L. Sever. Their work appears in journals such as The Lancet Global Health, The Lancet Infectious Diseases, The Journal of Infectious Diseases, Vaccine and Acta Tropica.

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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