Samuel Tassi Yunga

24 total papers · 662 total citations
20 papers, 429 citations indexed

About

Samuel Tassi Yunga is a scholar working on Oncology, Public Health, Environmental and Occupational Health and Hematology. According to data from OpenAlex, Samuel Tassi Yunga has authored 20 papers receiving a total of 429 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 8 papers in Public Health, Environmental and Occupational Health and 6 papers in Hematology. Recurrent topics in Samuel Tassi Yunga's work include Malaria Research and Control (8 papers), Platelet Disorders and Treatments (5 papers) and Inflammatory Biomarkers in Disease Prognosis (4 papers). Samuel Tassi Yunga is often cited by papers focused on Malaria Research and Control (8 papers), Platelet Disorders and Treatments (5 papers) and Inflammatory Biomarkers in Disease Prognosis (4 papers). Samuel Tassi Yunga collaborates with scholars based in United States, Cameroon and India. Samuel Tassi Yunga's co-authors include Owen J. T. McCarty, Craig D. Williams, Derrick L. Tao, Joanna L. Sylman, Annachiara Mitrugno, Joseph J. Shatzel, Diane Wallace Taylor, Rose G. F. Leke, Joyce Mahlako Tsoka-Gwegweni and John T. Leppert and has published in prestigious journals such as Blood, PLoS ONE and Scientific Reports.

In The Last Decade

Samuel Tassi Yunga

19 papers receiving 423 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Samuel Tassi Yunga	142	103	88	84	75	20	429
Knut Anders Mosevoll	86 0.6×	120 1.2×	29 0.3×	157 1.9×	108 1.4×	25	447
Andreas Beilken	112 0.8×	55 0.5×	60 0.7×	81 1.0×	21 0.3×	21	451
Joanna Osada	169 1.2×	68 0.7×	51 0.6×	50 0.6×	66 0.9×	36	441
Sidney Santos	49 0.3×	110 1.1×	61 0.7×	90 1.1×	29 0.4×	23	454
Shiming Lü	89 0.6×	133 1.3×	43 0.5×	33 0.4×	23 0.3×	25	459
L. Rom	60 0.4×	70 0.7×	31 0.4×	64 0.8×	69 0.9×	24	378
D. Spriggs	136 1.0×	82 0.8×	20 0.2×	50 0.6×	67 0.9×	22	436
Habib M. Ghaddar	124 0.9×	124 1.2×	65 0.7×	172 2.0×	16 0.2×	14	388
Sarah S. Burns	84 0.6×	167 1.6×	22 0.3×	72 0.9×	29 0.4×	28	464
Paulina B. Szklanna	81 0.6×	136 1.3×	11 0.1×	135 1.6×	52 0.7×	26	429

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-authorship network of co-authors of Samuel Tassi Yunga

This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Tassi Yunga. A scholar is included among the top collaborators of Samuel Tassi Yunga 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 Samuel Tassi Yunga. Samuel Tassi Yunga is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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