Blanca Martínez‐Teipel

27 total papers · 402 total citations
21 papers, 323 citations indexed

About

Blanca Martínez‐Teipel is a scholar working on Molecular Biology, Organic Chemistry and Cellular and Molecular Neuroscience. According to data from OpenAlex, Blanca Martínez‐Teipel has authored 21 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Organic Chemistry and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in Blanca Martínez‐Teipel's work include Chemical Synthesis and Analysis (9 papers), Click Chemistry and Applications (4 papers) and Glutathione Transferases and Polymorphisms (3 papers). Blanca Martínez‐Teipel is often cited by papers focused on Chemical Synthesis and Analysis (9 papers), Click Chemistry and Applications (4 papers) and Glutathione Transferases and Polymorphisms (3 papers). Blanca Martínez‐Teipel collaborates with scholars based in Spain and United States. Blanca Martínez‐Teipel's co-authors include José I. Borrell, Roland E. Dolle, Jordi Teixidó, Clara Barba, Luísa Coderch, Calum Macleod, Yang Liu, Daniel W. Armstrong, Robert N. DeHaven and Marta D. Costa and has published in prestigious journals such as Angewandte Chemie International Edition, Journal of Medicinal Chemistry and The Journal of Organic Chemistry.

In The Last Decade

Blanca Martínez‐Teipel

20 papers receiving 313 citations

Author Peers

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

Author						Papers	Cites
Blanca Martínez‐Teipel	142	119	50	49	41	21	323
Kakali Datta	132 0.9×	35 0.3×	23 0.5×	6 0.1×	9 0.2×	23	348
André Deflandre	66 0.5×	39 0.3×	27 0.5×	7 0.1×	10 0.2×	20	346
Ryuhei Kodama	61 0.4×	112 0.9×	17 0.3×	20 0.4×	13 0.3×	20	320
Francesco Palagiano	132 0.9×	72 0.6×	26 0.5×	27 0.6×	14 0.3×	23	336
Falmai Binns	134 0.9×	169 1.4×	25 0.5×	8 0.2×	31 0.8×	21	359
Renata Dębowska	15 0.1×	67 0.6×	15 0.3×	9 0.2×	31 0.8×	26	343
Cédric Peyrot	83 0.6×	76 0.6×	5 0.1×	7 0.1×	37 0.9×	17	310
R. K. Burkhard	76 0.5×	191 1.6×	71 1.4×	9 0.2×	14 0.3×	23	346
Ji Hye Yoon	47 0.3×	78 0.7×	17 0.3×	8 0.2×	10 0.2×	26	352
Matthieu M. Mention	83 0.6×	54 0.5×	6 0.1×	7 0.1×	47 1.1×	19	319

Countries citing papers authored by Blanca Martínez‐Teipel

Since Specialization

Citations

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

Fields of papers citing papers by Blanca Martínez‐Teipel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Blanca Martínez‐Teipel

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