Margarida Mota

38 total papers · 580 total citations
28 papers, 360 citations indexed

About

Margarida Mota is a scholar working on Epidemiology, Infectious Diseases and Surgery. According to data from OpenAlex, Margarida Mota has authored 28 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Epidemiology, 9 papers in Infectious Diseases and 6 papers in Surgery. Recurrent topics in Margarida Mota's work include Plant and Fungal Interactions Research (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Hepatitis C virus research (3 papers). Margarida Mota is often cited by papers focused on Plant and Fungal Interactions Research (4 papers), Clostridium difficile and Clostridium perfringens research (4 papers) and Hepatitis C virus research (3 papers). Margarida Mota collaborates with scholars based in Portugal, India and France. Margarida Mota's co-authors include João Valente, Margarida Correia, Daniela Martins‐Mendes, José Gomes‐Laranjo, Teresa Pinto, Paulo Lopes, Luı́sa Peixe, Ângela Novais, Alice Vilela and J. Ferreira‐Cardoso and has published in prestigious journals such as SHILAP Revista de lepidopterología, The American Journal of Gastroenterology and Agricultural Water Management.

In The Last Decade

Margarida Mota

23 papers receiving 350 citations

Author Peers

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

Author						Papers	Cites
Margarida Mota	141	75	59	58	53	28	360
A. Giannattasio	12 0.1×	22 0.3×	64 1.1×	129 2.2×	44 0.8×	22	341
Nina Pastukh	39 0.3×	7 0.1×	71 1.2×	22 0.4×	113 2.1×	23	333
Necati Günay	11 0.1×	129 1.7×	133 2.3×	25 0.4×	38 0.7×	18	391
Ertan Sal	12 0.1×	13 0.2×	41 0.7×	26 0.4×	96 1.8×	32	326
P. Roll	67 0.5×	7 0.1×	38 0.6×	36 0.6×	61 1.2×	36	300
Deepu David	94 0.7×	6 0.1×	60 1.0×	38 0.7×	67 1.3×	28	378
Oh Hun Kwon	25 0.2×	7 0.1×	51 0.9×	20 0.3×	61 1.2×	35	345
Harold L. Dobson	63 0.4×	30 0.4×	37 0.6×	19 0.3×	105 2.0×	29	385
Tomoya Sugiyama	18 0.1×	19 0.3×	214 3.6×	41 0.7×	35 0.7×	32	381
Jay J. Rohwedder	10 0.1×	15 0.2×	25 0.4×	115 2.0×	123 2.3×	14	355

Countries citing papers authored by Margarida Mota

Since Specialization

Citations

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

Fields of papers citing papers by Margarida Mota

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Margarida Mota

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