Sobeida Sánchez‐Nieto

39 total papers · 1.2k total citations
34 papers, 886 citations indexed

About

Sobeida Sánchez‐Nieto is a scholar working on Plant Science, Molecular Biology and Surgery. According to data from OpenAlex, Sobeida Sánchez‐Nieto has authored 34 papers receiving a total of 886 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Plant Science, 18 papers in Molecular Biology and 4 papers in Surgery. Recurrent topics in Sobeida Sánchez‐Nieto's work include Plant nutrient uptake and metabolism (11 papers), Seed Germination and Physiology (10 papers) and Photosynthetic Processes and Mechanisms (9 papers). Sobeida Sánchez‐Nieto is often cited by papers focused on Plant nutrient uptake and metabolism (11 papers), Seed Germination and Physiology (10 papers) and Photosynthetic Processes and Mechanisms (9 papers). Sobeida Sánchez‐Nieto collaborates with scholars based in Mexico, United States and United Kingdom. Sobeida Sánchez‐Nieto's co-authors include Marina Gavilanes‐Ruíz, Rocío Cruz‐Ortega, J. Fausto Rivero‐Cruz, Javier Plasencia, Ana Luisa Anaya, Gloria Díaz-Ruiz, María Isabel Aguilar, Danny J. Schnell, Matthew D. Smith and Diana Sánchez-Rangel and has published in prestigious journals such as Journal of Biological Chemistry, Analytical Biochemistry and The Plant Journal.

In The Last Decade

Sobeida Sánchez‐Nieto

33 papers receiving 849 citations

Author Peers

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

Author Last Decade Papers Cites
Sobeida Sánchez‐Nieto 584 375 83 62 37 34 886
Shili Li 487 0.8× 325 0.9× 56 0.7× 115 1.9× 24 0.6× 34 1.0k
Françoise Bernard 605 1.0× 403 1.1× 82 1.0× 41 0.7× 32 0.9× 45 1.0k
Zhi Liu 371 0.6× 377 1.0× 97 1.2× 44 0.7× 32 0.9× 35 699
Pei Liu 528 0.9× 400 1.1× 109 1.3× 29 0.5× 18 0.5× 42 931
Bingxian Yang 370 0.6× 523 1.4× 59 0.7× 45 0.7× 50 1.4× 47 793
Tian Wang 531 0.9× 309 0.8× 94 1.1× 56 0.9× 47 1.3× 24 864
Xinying Liu 514 0.9× 565 1.5× 96 1.2× 52 0.8× 28 0.8× 58 1.1k
Timir Baran Jha 553 0.9× 545 1.5× 58 0.7× 62 1.0× 20 0.5× 60 768
Aly Raïes 258 0.4× 273 0.7× 149 1.8× 103 1.7× 34 0.9× 37 750
Eliane Romanato Santarém 659 1.1× 446 1.2× 99 1.2× 72 1.2× 26 0.7× 39 888

Countries citing papers authored by Sobeida Sánchez‐Nieto

Since Specialization
Citations

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

Fields of papers citing papers by Sobeida Sánchez‐Nieto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sobeida Sánchez‐Nieto. 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 Sobeida Sánchez‐Nieto. The network helps show where Sobeida Sánchez‐Nieto may publish in the future.

Co-authorship network of co-authors of Sobeida Sánchez‐Nieto

This figure shows the co-authorship network connecting the top 25 collaborators of Sobeida Sánchez‐Nieto. A scholar is included among the top collaborators of Sobeida Sánchez‐Nieto 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 Sobeida Sánchez‐Nieto. Sobeida Sánchez‐Nieto 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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