Héctor Molina

40 total papers · 496 total citations
15 papers, 312 citations indexed

About

Héctor Molina is a scholar working on Surgery, Molecular Biology and Oncology. According to data from OpenAlex, Héctor Molina has authored 15 papers receiving a total of 312 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 5 papers in Molecular Biology and 5 papers in Oncology. Recurrent topics in Héctor Molina's work include Drug Transport and Resistance Mechanisms (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Pediatric Hepatobiliary Diseases and Treatments (2 papers). Héctor Molina is often cited by papers focused on Drug Transport and Resistance Mechanisms (4 papers), Cholesterol and Lipid Metabolism (3 papers) and Pediatric Hepatobiliary Diseases and Treatments (2 papers). Héctor Molina collaborates with scholars based in Chile, Netherlands and Argentina. Héctor Molina's co-authors include Juan Francisco Miquel, Marco Arrese, Lorena Azócar, Ludwig Amigo, Apolinaria García, Flavio Nervi, Attilio Rigotti, Fernando Pimentel, Silvana Zanlungo and Luís Villarroel and has published in prestigious journals such as Hepatology, Gut and Scientific Reports.

In The Last Decade

Héctor Molina

15 papers receiving 306 citations

Author Peers

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

Author						Papers	Cites
Héctor Molina	189	128	90	68	52	15	312
I.A.D. Bouchier	207 1.1×	106 0.8×	50 0.6×	50 0.7×	73 1.4×	18	356
M Malavolti	176 0.9×	136 1.1×	62 0.7×	54 0.8×	119 2.3×	21	359
Thistle Jl	216 1.1×	173 1.4×	185 2.1×	20 0.3×	57 1.1×	10	358
Michael D. Apstein	189 1.0×	161 1.3×	98 1.1×	36 0.5×	66 1.3×	10	362
Hiroyuki Hisai	123 0.7×	122 1.0×	51 0.6×	74 1.1×	37 0.7×	13	356
George Drivas	104 0.6×	63 0.5×	44 0.5×	40 0.6×	35 0.7×	22	288
Kalipatnapu N. Rao	107 0.6×	53 0.4×	41 0.5×	82 1.2×	50 1.0×	20	330
James D. McHattie	137 0.7×	118 0.9×	90 1.0×	33 0.5×	55 1.1×	17	353
Long Cheng	147 0.8×	76 0.6×	50 0.6×	62 0.9×	77 1.5×	23	323
Toshiyuki Sugiura	114 0.6×	89 0.7×	76 0.8×	39 0.6×	35 0.7×	18	286

Countries citing papers authored by Héctor Molina

Since Specialization

Citations

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

Fields of papers citing papers by Héctor Molina

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Héctor Molina

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