Javier Lizardi-Cervera

17 papers receiving 492 citations

Peers

Javier Lizardi-Cervera
Comparison fields: 5 of 56
  • Epidemiology 440
  • Endocrinology, Diabetes and Metabolism 235
  • Hepatology 183
  • Surgery 151
  • Pathology and Forensic Medicine 86
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M. Andreoletti Italy
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Citations per field
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Countries citing papers authored by Javier Lizardi-Cervera

Since Specialization
Citations

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

Fields of papers citing papers by Javier Lizardi-Cervera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Javier Lizardi-Cervera. 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 Javier Lizardi-Cervera. The network helps show where Javier Lizardi-Cervera may publish in the future.

Co-authorship network of co-authors of Javier Lizardi-Cervera

This figure shows the co-authorship network connecting the top 25 collaborators of Javier Lizardi-Cervera. A scholar is included among the top collaborators of Javier Lizardi-Cervera 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 Javier Lizardi-Cervera. Javier Lizardi-Cervera is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 232
4
Differential risk factor patterns for a positive treadmill test among subjects with and without ultrasound-based fatty liver
4
5
Hepatology Nonalcoholic fatty liver disease and its association with cardiovascular disease
7
6 50
7
Hemorragia de tubo digestivo alto. Experiencia en el hospital Médica Sur
0
8 2
9
[Prevalence of NAFLD and metabolic syndrome in asymtomatics subjects].
41
10
Infestación por Fasciola hepatica en la vía biliar
3
11 30
12 33
13 2
14 28
15 15
16
[Obesity and its association with cryptogenic cirrhosis and hepatocarcinoma].
3
17
La obesidad y su asociación con el desarrollo de cirrosis criptogénica y hepatocarcinoma
0
18 62
19
Diverticulitis en paciente joven
0
20
Diverticulitis in young patients
2

About Javier Lizardi-Cervera

Javier Lizardi-Cervera is a scholar working on Hepatology, Complementary and Manual Therapy and Epidemiology, having authored 22 papers that have together received 517 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (11 papers), Diet, Metabolism, and Disease (6 papers) and Alcohol Consumption and Health Effects (6 papers). The work is most often cited by research in Hepatology (183 citations), Endocrinology, Diabetes and Metabolism (235 citations) and Epidemiology (440 citations). Javier Lizardi-Cervera has collaborated with scholars based in Mexico, Italy and United States. Frequent co-authors include Misael Uribe, Norberto C. Chávez‐Tapia, Tonatiuh Barrientos‐Gutiérrez, Nahúm Méndez‐Sánchez, Félix I. Téllez‐Ávila, Luis Guevara, Daniel Motola‐Kuba, Martha H. Ramos, Jorge Luis Poo and Genaro Vázquez‐Elizondo. Their work appears in journals such as Cochrane Database of Systematic Reviews, Gastrointestinal Endoscopy and Digestive Diseases and Sciences.

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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