María Luisa Serrano

969 citations
32 papers · 746 indexed · h-index 14
Topics
Chemical and Physical Properties in Aqueous Solutions (7 papers)Crystallization and Solubility Studies (7 papers)SARS-CoV-2 and COVID-19 Research (6 papers)

In The Last Decade

María Luisa Serrano

31 papers receiving 731 citations

Peers

María Luisa Serrano
Comparison fields: 5 of 103
  • Infectious Diseases 279
  • Molecular Biology 186
  • Computational Theory and Mathematics 175
  • Materials Chemistry 120
  • Organic Chemistry 107
Replace Md Nayeem Hossain with:
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Abida Khan Saudi Arabia
Mohammad Z. Ahmed Saudi Arabia
Kamlesh Kumari India
Abhilash Jayaraj India
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K.‐J. Schaper Germany
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María Luisa Serrano relative to Md Nayeem Hossain United States Md Nayeem Hossain's profile →
Citations per field
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Citations per year

Countries citing papers authored by María Luisa Serrano

Since Specialization
Citations

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

Fields of papers citing papers by María Luisa Serrano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Luisa Serrano. 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 María Luisa Serrano. The network helps show where María Luisa Serrano may publish in the future.

Co-authorship network of co-authors of María Luisa Serrano

This figure shows the co-authorship network connecting the top 25 collaborators of María Luisa Serrano. A scholar is included among the top collaborators of María Luisa Serrano 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 María Luisa Serrano. María Luisa Serrano 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
#WorkIndexed citations
1 1
2 0
3 3
4 6
5 11
6 37
7 191
8 24
9 2
10 10
11 63
12 9
13 8
14 4
15 10
16 11
17 36
18 19
19 62
20 17

About María Luisa Serrano

María Luisa Serrano is a scholar working on Filtration and Separation, Horticulture and Infectious Diseases, having authored 32 papers that have together received 746 indexed citations. Recurring topics across this work include Chemical and Physical Properties in Aqueous Solutions (7 papers), Crystallization and Solubility Studies (7 papers) and SARS-CoV-2 and COVID-19 Research (6 papers). The work is most often cited by research in Filtration and Separation (41 citations), Infectious Diseases (279 citations) and Computational Theory and Mathematics (175 citations). María Luisa Serrano has collaborated with scholars based in Venezuela, Portugal and United States. Frequent co-authors include Joseph T. Ortega, Flor H. Pujol, Héctor R. Rangel, Sung Jin Cho, Alexander Tropsha, Alírica I. Suárez, Beata Jastrzębska, Lawrence Que, Teresa Lehmann and Alessandro Pedretti. Their work appears in journals such as Biochemistry, Journal of Medicinal Chemistry and Journal of Immunological Methods.

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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