Nadia Morales-Lizcano

14 total papers · 410 total citations
8 papers, 274 citations indexed

About

Nadia Morales-Lizcano is a scholar working on Molecular Biology, Infectious Diseases and Plant Science. According to data from OpenAlex, Nadia Morales-Lizcano has authored 8 papers receiving a total of 274 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Infectious Diseases and 3 papers in Plant Science. Recurrent topics in Nadia Morales-Lizcano's work include Gut microbiota and health (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Plant Pathogenic Bacteria Studies (3 papers). Nadia Morales-Lizcano is often cited by papers focused on Gut microbiota and health (4 papers), Clostridium difficile and Clostridium perfringens research (3 papers) and Plant Pathogenic Bacteria Studies (3 papers). Nadia Morales-Lizcano collaborates with scholars based in Canada, Hong Kong and Brazil. Nadia Morales-Lizcano's co-authors include Shuangchun Yan, Massimo Zaccardelli, Magdalen Lindeberg, Haijie Liu, David J. Studholme, Adriana Bernal, Gitta Coaker, Rongman Cai, Christopher R. Clarke and Carol L. Bender and has published in prestigious journals such as Gastroenterology, Frontiers in Immunology and PLoS Pathogens.

In The Last Decade

Nadia Morales-Lizcano

8 papers receiving 267 citations

Author Peers

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

Author Last Decade Papers Cites
Nadia Morales-Lizcano 165 86 25 24 21 8 274
Nadia Mhedbi-Hajri 153 0.9× 123 1.4× 23 0.9× 19 0.8× 14 0.7× 7 316
Sree Gowrinadh Javvadi 61 0.4× 170 2.0× 7 0.3× 32 1.3× 16 0.8× 6 327
Tom Eilers 120 0.7× 85 1.0× 37 1.5× 11 0.5× 6 0.3× 8 261
Patrick Tik Wan Law 56 0.3× 186 2.2× 24 1.0× 50 2.1× 14 0.7× 13 329
S Nagafuchi 24 0.1× 88 1.0× 7 0.3× 10 0.4× 12 0.6× 13 220
Mark Loftus 102 0.6× 108 1.3× 45 1.8× 19 0.8× 13 0.6× 11 225
Casey M. Cosetta 30 0.2× 187 2.2× 9 0.4× 24 1.0× 7 0.3× 10 287
Kim Simpson 64 0.4× 61 0.7× 5 0.2× 78 3.3× 8 0.4× 7 284
Olivia Wenger 35 0.2× 72 0.8× 29 1.2× 36 1.5× 20 1.0× 12 195
Daniel Podlesny 31 0.2× 186 2.2× 4 0.2× 106 4.4× 30 1.4× 10 282

Countries citing papers authored by Nadia Morales-Lizcano

Since Specialization
Citations

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

Fields of papers citing papers by Nadia Morales-Lizcano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nadia Morales-Lizcano. 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 Nadia Morales-Lizcano. The network helps show where Nadia Morales-Lizcano may publish in the future.

Co-authorship network of co-authors of Nadia Morales-Lizcano

This figure shows the co-authorship network connecting the top 25 collaborators of Nadia Morales-Lizcano. A scholar is included among the top collaborators of Nadia Morales-Lizcano 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 Nadia Morales-Lizcano. Nadia Morales-Lizcano 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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2026