Samuel Tassi Yunga

686 citations
20 papers · 444 · h-index 12

Impact in

Papers in

Samuel Tassi Yunga

19 papers receiving 438 citations

Peers

Samuel Tassi Yunga
Comparison fields: 5 of 89
  • Internal Medicine 42
  • Hematology 84
  • Oncology 146
  • Cancer Research 69
  • Parasitology 26
Replace Olivier Maillard with:
Olivier Maillard France
Fernanda M.F. Campos Brazil
Cristina Aresté Spain
D.C. RIJKEN Netherlands
Shiming Lü China
Ana B. Arroyo Spain
Knut Anders Mosevoll Norway
Cansu Yanginlar Netherlands
Andreas Beilken Germany
Durval Rosa Borges Brazil
Samuel Tassi Yunga relative to Olivier Maillard France Olivier Maillard's profile →
Citations per field
00.5×9.3×
Olivier Maillard · 1×
Citations per year

Countries citing papers authored by Samuel Tassi Yunga

Since Specialization
Citations

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

Fields of papers citing papers by Samuel Tassi Yunga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel Tassi Yunga. 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 Samuel Tassi Yunga. The network helps show where Samuel Tassi Yunga may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 202180
2 201872
3 202059
4 201847
5 201929
6 201822
7 201721
8 202216
9 201714
10 202214
11 201813
12 201713
13 20239
14 20199
15 20208
16 20217
17 20225
18 20163
19 20213
20 20250

About Samuel Tassi Yunga

Samuel Tassi Yunga is a scholar working on Oncology, Public Health, Environmental and Occupational Health, Hematology, Immunology and Molecular Biology, having authored 20 papers that have together received 444 indexed citations. Recurring topics across this work include Malaria Research and Control (8 papers), Platelet Disorders and Treatments (5 papers), Inflammatory Biomarkers in Disease Prognosis (4 papers), Mosquito-borne diseases and control (4 papers), Venous Thromboembolism Diagnosis and Management (3 papers), Drug Transport and Resistance Mechanisms (3 papers), Complement system in diseases (2 papers) and Aquaculture disease management and microbiota (2 papers). The work is most often cited by research in Internal Medicine (42 citations), Hematology (84 citations), Oncology (146 citations), Cancer Research (69 citations) and Parasitology (26 citations). Samuel Tassi Yunga has collaborated with scholars based in United States, Cameroon and Ghana. Frequent co-authors include Owen J. T. McCarty, Craig D. Williams, Derrick L. Tao, Joseph J. Shatzel, Diane Wallace Taylor, Joanna L. Sylman, Annachiara Mitrugno, Joyce Mahlako Tsoka-Gwegweni, Parag Mallick and Joseph E. Aslan. Their work appears in journals such as Malaria Journal, Blood, Scientific Reports, Journal of Thrombosis and Haemostasis and Frontiers in Oncology.

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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