Maria Flores

18 total papers · 664 total citations
12 papers, 154 citations indexed

About

Maria Flores is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Maria Flores has authored 12 papers receiving a total of 154 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Oncology, 6 papers in Surgery and 4 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Maria Flores's work include Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Maria Flores is often cited by papers focused on Cholangiocarcinoma and Gallbladder Cancer Studies (4 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Maria Flores collaborates with scholars based in Italy, United States and Germany. Maria Flores's co-authors include Carlo Sposito, Vincenzo Mazzaferro, Davide Citterio, Marco Bongini, Michele Droz Dit Busset, Giorgio Ercolani, Alessandro Cucchetti, Matteo Cescon, Antonio Daniele Pinna and Monica Niger and has published in prestigious journals such as Blood, Annals of Surgery and Journal of Hepatology.

In The Last Decade

Maria Flores

11 papers receiving 150 citations

Author Peers

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

Author						Papers	Cites
Maria Flores	85	80	73	48	46	12	154
Thomas Uguen	101 1.2×	95 1.2×	47 0.6×	45 0.9×	69 1.5×	11	176
Jingnan Xue	79 0.9×	47 0.6×	81 1.1×	30 0.6×	42 0.9×	20	140
Manuel Abradelo	115 1.4×	67 0.8×	86 1.2×	35 0.7×	39 0.8×	17	174
David W.G. ten Cate	64 0.8×	49 0.6×	62 0.8×	32 0.7×	42 0.9×	16	153
Leida Zhang	39 0.5×	107 1.3×	42 0.6×	53 1.1×	31 0.7×	10	164
G Cecchi	69 0.8×	95 1.2×	115 1.6×	17 0.4×	67 1.5×	9	197
David Kaczmarek	140 1.6×	20 0.3×	104 1.4×	54 1.1×	81 1.8×	17	251
Berkant Sönmez	87 1.0×	35 0.4×	81 1.1×	65 1.4×	63 1.4×	10	236
Alexandra Dili	93 1.1×	58 0.7×	56 0.8×	29 0.6×	71 1.5×	15	161
Éric Assenat	32 0.4×	109 1.4×	81 1.1×	46 1.0×	39 0.8×	16	163

Countries citing papers authored by Maria Flores

Since Specialization

Citations

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

Fields of papers citing papers by Maria Flores

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Maria Flores. 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 Maria Flores. The network helps show where Maria Flores may publish in the future.

Co-authorship network of co-authors of Maria Flores

This figure shows the co-authorship network connecting the top 25 collaborators of Maria Flores. A scholar is included among the top collaborators of Maria Flores 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 Maria Flores. Maria Flores 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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