Vanessa Marchant

48 total papers · 1.1k total citations
25 papers, 630 citations indexed

About

Vanessa Marchant is a scholar working on Immunology, Molecular Biology and Nephrology. According to data from OpenAlex, Vanessa Marchant has authored 25 papers receiving a total of 630 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Immunology, 9 papers in Molecular Biology and 6 papers in Nephrology. Recurrent topics in Vanessa Marchant's work include Psoriasis: Treatment and Pathogenesis (4 papers), Connective Tissue Growth Factor Research (3 papers) and Protein Degradation and Inhibitors (3 papers). Vanessa Marchant is often cited by papers focused on Psoriasis: Treatment and Pathogenesis (4 papers), Connective Tissue Growth Factor Research (3 papers) and Protein Degradation and Inhibitors (3 papers). Vanessa Marchant collaborates with scholars based in Spain, Chile and Netherlands. Vanessa Marchant's co-authors include Marta Ruiz‐Ortega, Sandra Rayego‐Mateos, Raúl R. Rodrigues-Díez, Alberto Ortíz, Laura Márquez‐Expósito, Antonio Tejera‐Muñoz, Lucía Tejedor-Santamaria, Juan F. Navarro‐González, Beatriz Fernández‐Fernández and Javier Donate‐Correa and has published in prestigious journals such as International Journal of Molecular Sciences, Kidney International and British Journal of Pharmacology.

In The Last Decade

Vanessa Marchant

21 papers receiving 628 citations

Hit Papers

Targeting inflammation to... 2022 2026 2023 2024 2022 50 100 150

Author Peers

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

Author Last Decade Papers Cites
Vanessa Marchant 235 171 111 95 81 25 630
Ingrid Kazue Mizuno Watanabe 304 1.3× 162 0.9× 72 0.6× 59 0.6× 54 0.7× 23 723
Kemal Erbil 123 0.5× 127 0.7× 47 0.4× 92 1.0× 53 0.7× 19 639
Zeyuan Lu 249 1.1× 243 1.4× 69 0.6× 112 1.2× 41 0.5× 29 711
An-Hang Yang 167 0.7× 172 1.0× 59 0.5× 148 1.6× 28 0.3× 30 688
Vajir Malek 273 1.2× 101 0.6× 40 0.4× 84 0.9× 139 1.7× 28 757
Debora Collotta 396 1.7× 62 0.4× 121 1.1× 75 0.8× 53 0.7× 35 783
Αnila Duni 125 0.5× 215 1.3× 62 0.6× 91 1.0× 22 0.3× 31 626
Lanfeng Wang 382 1.6× 63 0.4× 71 0.6× 107 1.1× 38 0.5× 24 776
Lirong Hao 285 1.2× 198 1.2× 130 1.2× 91 1.0× 18 0.2× 34 760
Sayaka Arakawa 183 0.8× 147 0.9× 95 0.9× 71 0.7× 26 0.3× 35 728

Countries citing papers authored by Vanessa Marchant

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Marchant

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vanessa Marchant. 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 Vanessa Marchant. The network helps show where Vanessa Marchant may publish in the future.

Co-authorship network of co-authors of Vanessa Marchant

This figure shows the co-authorship network connecting the top 25 collaborators of Vanessa Marchant. A scholar is included among the top collaborators of Vanessa Marchant 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 Vanessa Marchant. Vanessa Marchant 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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