Florence Masaisa

40 total papers · 529 total citations
20 papers, 357 citations indexed

About

Florence Masaisa is a scholar working on Infectious Diseases, Epidemiology and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Florence Masaisa has authored 20 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 6 papers in Epidemiology and 3 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Florence Masaisa's work include Blood transfusion and management (3 papers), Urinary Tract Infections Management (3 papers) and Antibiotic Resistance in Bacteria (3 papers). Florence Masaisa is often cited by papers focused on Blood transfusion and management (3 papers), Urinary Tract Infections Management (3 papers) and Antibiotic Resistance in Bacteria (3 papers). Florence Masaisa collaborates with scholars based in Rwanda, Belgium and Canada. Florence Masaisa's co-authors include Claude Mambo Muvunyi, Adamson S. Muula, Emmanuel Rudatsikira, Seter Siziya, Joseph Ntaganira, J M Mukiibi, Jean Bosco Gahutu, Jan Philippé, André Musemakweri and Claude Bayingana and has published in prestigious journals such as American Journal of Tropical Medicine and Hygiene, BMJ Open and Transfusion.

In The Last Decade

Florence Masaisa

19 papers receiving 344 citations

Author Peers

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

Author						Papers	Cites
Florence Masaisa	102	91	83	66	63	20	357
Atalay Mulu Fentie	61 0.6×	74 0.8×	75 0.9×	20 0.3×	40 0.6×	35	325
Ioannis Kopsidas	118 1.2×	120 1.3×	152 1.8×	71 1.1×	20 0.3×	30	396
Valentina Mascaro	138 1.4×	154 1.7×	124 1.5×	10 0.2×	32 0.5×	16	397
Samah Awad	100 1.0×	39 0.4×	64 0.8×	41 0.6×	30 0.5×	28	400
Shristi Raut	48 0.5×	19 0.2×	144 1.7×	23 0.3×	38 0.6×	25	398
Isaac Mugoya	86 0.8×	78 0.9×	44 0.5×	53 0.8×	64 1.0×	13	318
Daniel Gebretsadik	132 1.3×	10 0.1×	111 1.3×	40 0.6×	16 0.3×	42	390
Dawood Yusef	121 1.2×	39 0.4×	74 0.9×	23 0.3×	39 0.6×	23	378
Nantasit Luangasanatip	42 0.4×	29 0.3×	203 2.4×	6 0.1×	33 0.5×	20	378
E. A. Ophori	191 1.9×	93 1.0×	55 0.7×	12 0.2×	28 0.4×	18	350

Countries citing papers authored by Florence Masaisa

Since Specialization

Citations

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

Fields of papers citing papers by Florence Masaisa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Florence Masaisa

This figure shows the co-authorship network connecting the top 25 collaborators of Florence Masaisa. A scholar is included among the top collaborators of Florence Masaisa 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 Florence Masaisa. Florence Masaisa 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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