Magaly Martínez‐Ferrer

73 total papers · 1.2k total citations
28 papers, 849 citations indexed

About

Magaly Martínez‐Ferrer is a scholar working on Epidemiology, Molecular Biology and Oncology. According to data from OpenAlex, Magaly Martínez‐Ferrer has authored 28 papers receiving a total of 849 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Epidemiology, 6 papers in Molecular Biology and 6 papers in Oncology. Recurrent topics in Magaly Martínez‐Ferrer's work include Cervical Cancer and HPV Research (7 papers), Prostate Cancer Treatment and Research (3 papers) and Genital Health and Disease (3 papers). Magaly Martínez‐Ferrer is often cited by papers focused on Cervical Cancer and HPV Research (7 papers), Prostate Cancer Treatment and Research (3 papers) and Genital Health and Disease (3 papers). Magaly Martínez‐Ferrer collaborates with scholars based in Puerto Rico, United States and Austria. Magaly Martínez‐Ferrer's co-authors include Neil A. Bhowmick, Consolate Uwamariya, Ali‐Reza Sharif‐Afshar, Peter E. Clark, Tatsuki Koyama, Jeffrey M. Davidson, Benoît De Crombrugghe, Juan M. Iturregui, Filipa Godoy‐Vitorino and Josefina Romaguera and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Magaly Martínez‐Ferrer

27 papers receiving 824 citations

Author Peers

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

Author Last Decade Papers Cites
Magaly Martínez‐Ferrer 302 161 130 117 110 28 849
Kenny Chitcholtan 323 1.1× 59 0.4× 108 0.8× 185 1.6× 53 0.5× 30 895
Hongfeng Zhang 250 0.8× 82 0.5× 93 0.7× 92 0.8× 64 0.6× 50 764
Jianfeng Xue 284 0.9× 186 1.2× 177 1.4× 43 0.4× 89 0.8× 31 947
Shimin Zhang 219 0.7× 148 0.9× 286 2.2× 68 0.6× 27 0.2× 38 902
Adrian P. Scott 420 1.4× 162 1.0× 49 0.4× 92 0.8× 59 0.5× 13 930
Linda S. Johnson 373 1.2× 217 1.3× 122 0.9× 67 0.6× 26 0.2× 21 972
Rakesh Bhatia 392 1.3× 68 0.4× 106 0.8× 267 2.3× 52 0.5× 49 905
Yi Guo 366 1.2× 87 0.5× 172 1.3× 65 0.6× 19 0.2× 36 983
Dan Zhao 445 1.5× 160 1.0× 57 0.4× 48 0.4× 40 0.4× 56 845
Evangeli Lampri 341 1.1× 81 0.5× 65 0.5× 101 0.9× 45 0.4× 32 714

Countries citing papers authored by Magaly Martínez‐Ferrer

Since Specialization
Citations

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

Fields of papers citing papers by Magaly Martínez‐Ferrer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Magaly Martínez‐Ferrer. 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 Magaly Martínez‐Ferrer. The network helps show where Magaly Martínez‐Ferrer may publish in the future.

Co-authorship network of co-authors of Magaly Martínez‐Ferrer

This figure shows the co-authorship network connecting the top 25 collaborators of Magaly Martínez‐Ferrer. A scholar is included among the top collaborators of Magaly Martínez‐Ferrer 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 Magaly Martínez‐Ferrer. Magaly Martínez‐Ferrer 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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