Nina Gouba

24 total papers · 410 total citations
10 papers, 319 citations indexed

About

Nina Gouba is a scholar working on Molecular Biology, Clinical Biochemistry and Epidemiology. According to data from OpenAlex, Nina Gouba has authored 10 papers receiving a total of 319 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Clinical Biochemistry and 3 papers in Epidemiology. Recurrent topics in Nina Gouba's work include Bacterial Identification and Susceptibility Testing (5 papers), Gut microbiota and health (5 papers) and Genomics and Phylogenetic Studies (4 papers). Nina Gouba is often cited by papers focused on Bacterial Identification and Susceptibility Testing (5 papers), Gut microbiota and health (5 papers) and Genomics and Phylogenetic Studies (4 papers). Nina Gouba collaborates with scholars based in France, Burkina Faso and Saudi Arabia. Nina Gouba's co-authors include Michel Drancourt, Didier Raoult, Maxime Descartes Mbogning Fonkou, Zékiba Tarnagda, Yves Traoré, Marielle Bedotto, Matthieu Million, Fadi Bittar, Melhem Bilen and S. Khelaifia and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Microorganisms.

In The Last Decade

Nina Gouba

10 papers receiving 313 citations

Author Peers

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

Author						Papers	Cites
Nina Gouba	218	126	80	61	36	10	319
Qi Hui Sam	150 0.7×	101 0.8×	49 0.6×	66 1.1×	28 0.8×	8	271
Michael Handschur	225 1.0×	66 0.5×	82 1.0×	46 0.8×	100 2.8×	7	349
Swathi Penumutchu	196 0.9×	124 1.0×	67 0.8×	27 0.4×	43 1.2×	11	277
Supapit Wongkuna	192 0.9×	63 0.5×	58 0.7×	41 0.7×	40 1.1×	14	303
Roberta J. Wright	203 0.9×	216 1.7×	76 0.9×	107 1.8×	10 0.3×	8	356
Christian Leal	222 1.0×	142 1.1×	66 0.8×	54 0.9×	48 1.3×	5	312
Bastian Seelbinder	145 0.7×	135 1.1×	45 0.6×	66 1.1×	13 0.4×	12	283
Maryse Moya‐Nilges	204 0.9×	107 0.8×	56 0.7×	39 0.6×	37 1.0×	15	328
Claire E. Kohout	238 1.1×	62 0.5×	49 0.6×	33 0.5×	41 1.1×	6	325
Gui-Ling Zou	153 0.7×	199 1.6×	47 0.6×	149 2.4×	21 0.6×	8	353

Countries citing papers authored by Nina Gouba

Since Specialization

Citations

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

Fields of papers citing papers by Nina Gouba

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nina Gouba

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