Magaly Martínez‐Ferrer

1.2k total citations
28 papers, 853 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 853 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), Andrographolide Research and Applications (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), Andrographolide Research and Applications (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, Benoît De Crombrugghe, Jeffrey M. Davidson, Josefina Romaguera, Filipa Godoy‐Vitorino and Juan M. Iturregui and has published in prestigious journals such as PLoS ONE, Cancer Research and Oncogene.

In The Last Decade

Magaly Martínez‐Ferrer

27 papers receiving 829 citations

Peers

Magaly Martínez‐Ferrer
Comparison fields: 5 of 109
  • Molecular Biology 304
  • Epidemiology 161
  • Surgery 131
  • Oncology 117
  • Plant Science 110
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Dan Zhao China
Lijun Song China
Julio César Torres‐Romero Mexico
Nikolaj Spodsberg Denmark
Yujun Chen China
Sau Har Lee Malaysia
Hua Tang China
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Citations per field, relative to Magaly Martínez‐Ferrer
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Citations per year, relative to Magaly Martínez‐Ferrer
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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

20 of 20 papers shown
# Work Indexed citations
1 5
2 7
3 13
4 22
5 43
6 16
7 24
8 21
9 78
10 4
11 29
12 64
13 19
14 0
15 80
16 1
17 32
18 75
19 23
20 110

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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