Marta Massip‐Salcedo

30 total papers · 782 total citations
24 papers, 615 citations indexed

About

Marta Massip‐Salcedo is a scholar working on Surgery, Hepatology and Epidemiology. According to data from OpenAlex, Marta Massip‐Salcedo has authored 24 papers receiving a total of 615 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Surgery, 11 papers in Hepatology and 10 papers in Epidemiology. Recurrent topics in Marta Massip‐Salcedo's work include Liver Disease and Transplantation (10 papers), Organ Transplantation Techniques and Outcomes (10 papers) and Liver Disease Diagnosis and Treatment (7 papers). Marta Massip‐Salcedo is often cited by papers focused on Liver Disease and Transplantation (10 papers), Organ Transplantation Techniques and Outcomes (10 papers) and Liver Disease Diagnosis and Treatment (7 papers). Marta Massip‐Salcedo collaborates with scholars based in Spain, United States and United Kingdom. Marta Massip‐Salcedo's co-authors include Carmen Peralta, Joan Roselló‐Catafau, Araní Casillas-Ramírez, Anna Serafín, Ramón Bartrons, Juan Rodés, Matías A. Ávila, Jesús Prìeto, Antoni Rimola and Mónica B. Jiménez‐Castro and has published in prestigious journals such as Hepatology, International Journal of Molecular Sciences and Critical Care Medicine.

In The Last Decade

Marta Massip‐Salcedo

24 papers receiving 604 citations

Author Peers

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

Author						Papers	Cites
Marta Massip‐Salcedo	408	340	237	118	106	24	615
Susagna Padrissa‐Altés	293 0.7×	275 0.8×	195 0.8×	155 1.3×	47 0.4×	17	522
Hongzhi Xu	510 1.3×	410 1.2×	156 0.7×	51 0.4×	73 0.7×	36	698
Hajime Ohshiro	286 0.7×	184 0.5×	91 0.4×	68 0.6×	48 0.5×	32	567
Mark op den Winkel	168 0.4×	335 1.0×	217 0.9×	72 0.6×	91 0.9×	31	560
André Martignoni	267 0.7×	202 0.6×	190 0.8×	72 0.6×	91 0.9×	16	621
Kentaro Kadono	231 0.6×	177 0.5×	142 0.6×	237 2.0×	35 0.3×	29	610
Yoshiko Matsunaga	185 0.5×	183 0.5×	166 0.7×	117 1.0×	51 0.5×	18	632
Salamah Mohammad Alwahsh	133 0.3×	152 0.4×	235 1.0×	169 1.4×	61 0.6×	18	576
Kouji Tsugawa	288 0.7×	162 0.5×	124 0.5×	147 1.2×	33 0.3×	27	605
Miguel Civera	242 0.6×	111 0.3×	187 0.8×	96 0.8×	42 0.4×	36	660

Countries citing papers authored by Marta Massip‐Salcedo

Since Specialization

Citations

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

Fields of papers citing papers by Marta Massip‐Salcedo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marta Massip‐Salcedo. 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 Marta Massip‐Salcedo. The network helps show where Marta Massip‐Salcedo may publish in the future.

Co-authorship network of co-authors of Marta Massip‐Salcedo

This figure shows the co-authorship network connecting the top 25 collaborators of Marta Massip‐Salcedo. A scholar is included among the top collaborators of Marta Massip‐Salcedo 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 Marta Massip‐Salcedo. Marta Massip‐Salcedo 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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