Miguel A. Hermida

1.5k total citations
8 papers, 1.0k citations indexed

About

Miguel A. Hermida is a scholar working on Molecular Biology, Biomedical Engineering and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Miguel A. Hermida has authored 8 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Biomedical Engineering and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Miguel A. Hermida's work include PI3K/AKT/mTOR signaling in cancer (3 papers), 3D Printing in Biomedical Research (2 papers) and Neuroscience and Neural Engineering (1 paper). Miguel A. Hermida is often cited by papers focused on PI3K/AKT/mTOR signaling in cancer (3 papers), 3D Printing in Biomedical Research (2 papers) and Neuroscience and Neural Engineering (1 paper). Miguel A. Hermida collaborates with scholars based in United Kingdom, France and Spain. Miguel A. Hermida's co-authors include Nicholas R. Leslie, J. Dinesh Kumar, Wenmiao Shu, Atabak Ghanizadeh Tabriz, Helen Wise, Euan R. Brown, Virginia Álvarez-García, Alberto Di Bartolo, Anne Clavreul and Ferry P.W. Melchels and has published in prestigious journals such as PLoS ONE, Cell Death and Disease and Biochemical Society Transactions.

In The Last Decade

Miguel A. Hermida

8 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Miguel A. Hermida United Kingdom	7	443	382	214	159	125	8	1.0k
Ji‐Seon Lee South Korea	15	363 0.8×	337 0.9×	193 0.9×	117 0.7×	64 0.5×	25	942
Amélie Thepot France	14	261 0.6×	294 0.8×	145 0.7×	73 0.5×	50 0.4×	24	695
Yona Kim South Korea	8	188 0.4×	448 1.2×	92 0.4×	188 1.2×	74 0.6×	16	747
Yu Jung Shin United States	8	194 0.4×	258 0.7×	63 0.3×	79 0.5×	106 0.8×	14	578
Sanja Aveic Italy	19	440 1.0×	187 0.5×	54 0.3×	140 0.9×	155 1.2×	48	915
Woong Bi Jang South Korea	12	204 0.5×	297 0.8×	129 0.6×	50 0.3×	54 0.4×	31	623
Yoojin Seo South Korea	21	428 1.0×	248 0.6×	44 0.2×	112 0.7×	137 1.1×	46	1.2k
Yibing Guo China	21	601 1.4×	252 0.7×	53 0.2×	146 0.9×	302 2.4×	71	1.3k
Jennifer K. Lang United States	17	637 1.4×	116 0.3×	55 0.3×	62 0.4×	303 2.4×	33	1.1k
Sun Ah Nam South Korea	13	366 0.8×	213 0.6×	35 0.2×	54 0.3×	35 0.3×	19	767

Countries citing papers authored by Miguel A. Hermida

Since Specialization

Citations

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

Fields of papers citing papers by Miguel A. Hermida

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Miguel A. Hermida. 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 Miguel A. Hermida. The network helps show where Miguel A. Hermida may publish in the future.

Co-authorship network of co-authors of Miguel A. Hermida

This figure shows the co-authorship network connecting the top 25 collaborators of Miguel A. Hermida. A scholar is included among the top collaborators of Miguel A. Hermida 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 Miguel A. Hermida. Miguel A. Hermida is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Contreras, María F., Miguel A. Hermida, Kunal Shah, et al.. (2021). Targeted therapy for LIMD1-deficient non-small cell lung cancer subtypes. Cell Death and Disease. 12(11). 1075–1075. 4 indexed citations

2.

Hermida, Miguel A., J. Dinesh Kumar, Alberto Di Bartolo, et al.. (2019). Three dimensional in vitro models of cancer: Bioprinting multilineage glioblastoma models. Advances in Biological Regulation. 75. 100658–100658. 81 indexed citations

3.

Hermida, Miguel A., J. Dinesh Kumar, & Nicholas R. Leslie. (2017). GSK3 and its interactions with the PI3K/AKT/mTOR signalling network. Advances in Biological Regulation. 65. 5–15. 345 indexed citations

4.

Wise, Helen, Miguel A. Hermida, & Nicholas R. Leslie. (2017). Prostate cancer, PI3K, PTEN and prognosis. Clinical Science. 131(3). 197–210. 147 indexed citations

5.

Leslie, Nicholas R., et al.. (2016). The PTEN protein: cellular localization and post-translational regulation. Biochemical Society Transactions. 44(1). 273–278. 38 indexed citations

6.

Tabriz, Atabak Ghanizadeh, Miguel A. Hermida, Nicholas R. Leslie, & Wenmiao Shu. (2015). Three-dimensional bioprinting of complex cell laden alginate hydrogel structures. Biofabrication. 7(4). 45012–45012. 319 indexed citations

7.

Conde, Javier, Morena Scotece, Vanessa Abella, et al.. (2015). Identification of Novel Adipokines in the Joint. Differential Expression in Healthy and Osteoarthritis Tissues. PLoS ONE. 10(4). e0123601–e0123601. 34 indexed citations

8.

Hermida, Miguel A., et al.. (2015). Class I PI 3-kinases: Function and evolution. Advances in Biological Regulation. 59. 53–64. 60 indexed citations

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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