Mariam Siala

28 total papers · 437 total citations
19 papers, 322 citations indexed

About

Mariam Siala is a scholar working on Epidemiology, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Mariam Siala has authored 19 papers receiving a total of 322 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Epidemiology, 5 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Mariam Siala's work include Mycobacterium research and diagnosis (8 papers), Tuberculosis Research and Epidemiology (5 papers) and Vibrio bacteria research studies (3 papers). Mariam Siala is often cited by papers focused on Mycobacterium research and diagnosis (8 papers), Tuberculosis Research and Epidemiology (5 papers) and Vibrio bacteria research studies (3 papers). Mariam Siala collaborates with scholars based in Tunisia, France and United States. Mariam Siala's co-authors include Radhouane Gdoura, Salma Hachicha, H. Fourati, Slaheddine Sellami, M. Younès, Sonda Guermazi, Michel Gautier, Noël Grosset, Sophie Jan and Florence Baron and has published in prestigious journals such as Molecules, Frontiers in Microbiology and International Journal of Food Microbiology.

In The Last Decade

Mariam Siala

18 papers receiving 309 citations

Author Peers

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

Author						Papers	Cites
Mariam Siala	120	104	63	57	49	19	322
Anthony Wong	101 0.8×	51 0.5×	32 0.5×	34 0.6×	28 0.6×	31	279
P. Carroll	46 0.4×	94 0.9×	110 1.7×	18 0.3×	43 0.9×	12	332
Edris Nabizadeh	164 1.4×	40 0.4×	50 0.8×	37 0.6×	54 1.1×	20	310
Mónica N. Giacomodonato	117 1.0×	135 1.3×	75 1.2×	12 0.2×	21 0.4×	21	335
D Raghunath	106 0.9×	27 0.3×	156 2.5×	34 0.6×	32 0.7×	17	339
Mohammed A. Saleh	83 0.7×	86 0.8×	47 0.7×	34 0.6×	4 0.1×	32	261
Marlene Spohr	126 1.1×	51 0.5×	144 2.3×	51 0.9×	11 0.2×	32	352
Laura A. Gonyar	139 1.2×	72 0.7×	92 1.5×	49 0.9×	8 0.2×	13	325
Kelvin G. K. Goh	99 0.8×	27 0.3×	46 0.7×	100 1.8×	17 0.3×	25	335
Maria Loose	98 0.8×	38 0.4×	50 0.8×	73 1.3×	4 0.1×	20	346

Countries citing papers authored by Mariam Siala

Since Specialization

Citations

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

Fields of papers citing papers by Mariam Siala

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mariam Siala

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