J. M. Nava

13 total papers · 613 total citations
9 papers, 459 citations indexed

About

J. M. Nava is a scholar working on Epidemiology, Microbiology and Emergency Medicine. According to data from OpenAlex, J. M. Nava has authored 9 papers receiving a total of 459 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 4 papers in Microbiology and 3 papers in Emergency Medicine. Recurrent topics in J. M. Nava's work include Bacterial Infections and Vaccines (4 papers), Pneumonia and Respiratory Infections (4 papers) and Sepsis Diagnosis and Treatment (3 papers). J. M. Nava is often cited by papers focused on Bacterial Infections and Vaccines (4 papers), Pneumonia and Respiratory Infections (4 papers) and Sepsis Diagnosis and Treatment (3 papers). J. M. Nava collaborates with scholars based in Spain and Italy. J. M. Nava's co-authors include Javier Garau, F. Bella, D. Fontanals, Salvador Quintana, Miguel Ángel Álvarez-Avitia, Montserrat Rué, Josep Lite, M. Morera, Peré Domingo and Pere Coll and has published in prestigious journals such as Clinical Infectious Diseases, Critical Care Medicine and Intensive Care Medicine.

In The Last Decade

J. M. Nava

9 papers receiving 438 citations

Author Peers

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

Author						Papers	Cites
J. M. Nava	317	170	107	56	52	9	459
Stéphane Guyomarch	235 0.7×	89 0.5×	65 0.6×	96 1.7×	67 1.3×	15	486
Marc Auburtin	282 0.9×	190 1.1×	50 0.5×	79 1.4×	40 0.8×	7	457
Ioannis Katsarolis	213 0.7×	69 0.4×	71 0.7×	50 0.9×	23 0.4×	25	434
G Miño	303 1.0×	194 1.1×	78 0.7×	28 0.5×	31 0.6×	18	413
George H. McCracken	230 0.7×	140 0.8×	103 1.0×	51 0.9×	49 0.9×	8	456
Paul Corwin	158 0.5×	33 0.2×	62 0.6×	24 0.4×	20 0.4×	12	477
Hadley K. Herbert	120 0.4×	91 0.5×	188 1.8×	35 0.6×	135 2.6×	12	535
Sherene Fakhran	343 1.1×	31 0.2×	76 0.7×	74 1.3×	62 1.2×	15	540
Caterina Sabatini	393 1.2×	78 0.5×	46 0.4×	50 0.9×	22 0.4×	11	544
Steven M. Marsocci	267 0.8×	120 0.7×	195 1.8×	115 2.1×	23 0.4×	19	466

Countries citing papers authored by J. M. Nava

Since Specialization

Citations

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

Fields of papers citing papers by J. M. Nava

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. M. 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 J. M. Nava. The network helps show where J. M. Nava may publish in the future.

Co-authorship network of co-authors of J. M. Nava

This figure shows the co-authorship network connecting the top 25 collaborators of J. M. Nava. A scholar is included among the top collaborators of J. M. 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 J. M. Nava. J. M. Nava 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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