Míchel Herranz

33 total papers · 653 total citations
24 papers, 363 citations indexed

About

Míchel Herranz is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Pathology and Forensic Medicine. According to data from OpenAlex, Míchel Herranz has authored 24 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Radiology, Nuclear Medicine and Imaging, 5 papers in Molecular Biology and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Míchel Herranz's work include Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Advanced Drug Delivery Systems (4 papers). Míchel Herranz is often cited by papers focused on Medical Imaging Techniques and Applications (7 papers), Radiomics and Machine Learning in Medical Imaging (5 papers) and Advanced Drug Delivery Systems (4 papers). Míchel Herranz collaborates with scholars based in Spain, Singapore and United States. Míchel Herranz's co-authors include Álvaro Ruibal, Pablo Aguiar, Jesús Silva‐Rodríguez, Anxo Fernández‐Ferreiro, Francisco J. Otero‐Espinar, Andrea Luaces-Rodríguez, Miguel González‐Barcia, María Jesús Lamas, José Ignacio Arias and J. Blanco‐Méndez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Annals of the New York Academy of Sciences.

In The Last Decade

Míchel Herranz

24 papers receiving 356 citations

Author Peers

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

Author						Papers	Cites
Míchel Herranz	127	75	73	61	59	24	363
Jong Wook Hong	75 0.6×	100 1.3×	41 0.6×	49 0.8×	107 1.8×	13	368
Zhaohui Jin	22 0.2×	29 0.4×	122 1.7×	112 1.8×	16 0.3×	24	362
Kazuhito Yamada	49 0.4×	33 0.4×	15 0.2×	86 1.4×	27 0.5×	23	320
Xinyang Ge	73 0.6×	91 1.2×	31 0.4×	70 1.1×	18 0.3×	21	335
Xuewei Yin	27 0.2×	12 0.2×	38 0.5×	126 2.1×	28 0.5×	31	353
Vincent H.S. Chang	36 0.3×	23 0.3×	18 0.2×	222 3.6×	9 0.2×	24	398
Tingting Liu	97 0.8×	5 0.1×	26 0.4×	75 1.2×	77 1.3×	35	350
H Mishima	61 0.5×	4 0.1×	24 0.3×	62 1.0×	33 0.6×	25	324
Alan S. Josephson	52 0.4×	12 0.2×	8 0.1×	71 1.2×	73 1.2×	17	326
Susumu Iwasa	109 0.9×	94 1.3×	15 0.2×	145 2.4×	18 0.3×	31	396

Countries citing papers authored by Míchel Herranz

Since Specialization

Citations

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

Fields of papers citing papers by Míchel Herranz

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Míchel Herranz

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