María-Paz Nava

668 total citations
30 papers, 563 citations indexed

About

María-Paz Nava is a scholar working on Hepatology, Epidemiology and Surgery. According to data from OpenAlex, María-Paz Nava has authored 30 papers receiving a total of 563 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Hepatology, 14 papers in Epidemiology and 12 papers in Surgery. Recurrent topics in María-Paz Nava's work include Liver Disease and Transplantation (16 papers), Liver Disease Diagnosis and Treatment (13 papers) and Organ Transplantation Techniques and Outcomes (5 papers). María-Paz Nava is often cited by papers focused on Liver Disease and Transplantation (16 papers), Liver Disease Diagnosis and Treatment (13 papers) and Organ Transplantation Techniques and Outcomes (5 papers). María-Paz Nava collaborates with scholars based in Spain, Slovakia and Vietnam. María-Paz Nava's co-authors include Jaime Árias, María‐Angeles Aller, M. Abelenda, Marisa Puerta, Laudino López, R. Pérez‐Campo, Mónica Lopez‐Torres, Gustavo Barja, M. Puerta and I. Prieto and has published in prestigious journals such as Biochemical Journal, Journal of the Neurological Sciences and Experimental Biology and Medicine.

In The Last Decade

María-Paz Nava

30 papers receiving 547 citations

Peers

María-Paz Nava
Comparison fields: 5 of 86
  • Hepatology 208
  • Epidemiology 160
  • Surgery 146
  • Physiology 127
  • Molecular Biology 66
Ralph Feltens Germany
Hitoshi Nakano Japan
B Fülöp Hungary
Zhifei Li China
Miroslav Kovařík Czechia
Nicole Piazza Italy
Xinling Wang China
Stavroula Veletza Greece
Ana García-Sacristán Spain
Joni Nikkanen Finland
Ralph Feltens Germany View profile →
Citations per field, relative to María-Paz Nava
María-Paz Nava · 1×
Citations per year, relative to María-Paz Nava
María-Paz Nava · 1×

Countries citing papers authored by María-Paz Nava

Since Specialization
Citations

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

Fields of papers citing papers by María-Paz Nava

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María-Paz Nava. 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 María-Paz Nava. The network helps show where María-Paz Nava may publish in the future.

Co-authorship network of co-authors of María-Paz Nava

This figure shows the co-authorship network connecting the top 25 collaborators of María-Paz Nava. A scholar is included among the top collaborators of María-Paz Nava 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 María-Paz Nava. María-Paz Nava 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
# Work Indexed citations
1 8
2 8
3 10
4 27
5 20
6 13
7 16
8 16
9 14
10
Vertical figure-of-eight stitches for surgical closure of laparotomies in the rat
1
11 19
12 28
13 16
14 60
15 1
16 5
17 8
18 30
19 15
20 16

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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