Vasco Campos

640 total citations
8 papers, 314 citations indexed

About

Vasco Campos is a scholar working on Hematology, Genetics and Immunology. According to data from OpenAlex, Vasco Campos has authored 8 papers receiving a total of 314 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Hematology, 3 papers in Genetics and 3 papers in Immunology. Recurrent topics in Vasco Campos's work include Hematopoietic Stem Cell Transplantation (6 papers), Mesenchymal stem cell research (3 papers) and Diabetic Foot Ulcer Assessment and Management (2 papers). Vasco Campos is often cited by papers focused on Hematopoietic Stem Cell Transplantation (6 papers), Mesenchymal stem cell research (3 papers) and Diabetic Foot Ulcer Assessment and Management (2 papers). Vasco Campos collaborates with scholars based in Switzerland, United States and Spain. Vasco Campos's co-authors include Olaia Naveiras, Nicola Vannini, Mukul Girotra, Matthias P. Lütolf, Sonja Giger, Aline Roch, Johan Auwerx, Josefine Tratwal, Daniel Naveed Tavakol and Samy Gobaa and has published in prestigious journals such as Nature Communications, Biomaterials and Journal of Lipid Research.

In The Last Decade

Vasco Campos

8 papers receiving 314 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Vasco Campos Switzerland	6	141	135	59	51	41	8	314
Jamie A Moore United Kingdom	8	171 1.2×	79 0.6×	79 1.3×	37 0.7×	43 1.0×	16	308
Ana Oteiza Norway	11	99 0.7×	76 0.6×	94 1.6×	34 0.7×	97 2.4×	18	398
Tammy L. Palenski United States	10	173 1.2×	108 0.8×	34 0.6×	52 1.0×	19 0.5×	20	385
R. M. Vigneulle United States	10	95 0.7×	187 1.4×	72 1.2×	90 1.8×	15 0.4×	18	461
Enrico La Spina Italy	9	156 1.1×	64 0.5×	39 0.7×	48 0.9×	11 0.3×	25	286
Yehua Yu China	7	105 0.7×	172 1.3×	79 1.3×	55 1.1×	7 0.2×	16	317
Richard XuFeng United States	6	214 1.5×	127 0.9×	73 1.2×	46 0.9×	16 0.4×	8	349
Laura Ferrer‐Font New Zealand	9	209 1.5×	21 0.2×	120 2.0×	42 0.8×	21 0.5×	23	338
Stéphane M. Camus France	8	159 1.1×	40 0.3×	31 0.5×	60 1.2×	24 0.6×	10	279
Norihisa Ishiwata Japan	9	119 0.8×	141 1.0×	64 1.1×	49 1.0×	30 0.7×	14	366

Countries citing papers authored by Vasco Campos

Since Specialization

Citations

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

Fields of papers citing papers by Vasco Campos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vasco Campos

This figure shows the co-authorship network connecting the top 25 collaborators of Vasco Campos. A scholar is included among the top collaborators of Vasco Campos 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 Vasco Campos. Vasco Campos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Tratwal, Josefine, Guillaume Falgayrac, Alexandrine During, et al.. (2022). Raman microspectroscopy reveals unsaturation heterogeneity at the lipid droplet level and validates an in vitro model of bone marrow adipocyte subtypes. Frontiers in Endocrinology. 13. 1001210–1001210. 17 indexed citations

2.

Tratwal, Josefine, Nicolas Kunz, Shanti Rojas‐Sutterlin, et al.. (2020). MarrowQuant Across Aging and Aplasia: A Digital Pathology Workflow for Quantification of Bone Marrow Compartments in Histological Sections. Frontiers in Endocrinology. 11. 480–480. 27 indexed citations

3.

Tavakol, Daniel Naveed, Josefine Tratwal, Vasco Campos, et al.. (2019). Injectable, scalable 3D tissue-engineered model of marrow hematopoiesis. Biomaterials. 232. 119665–119665. 30 indexed citations

4.

Campos, Vasco, Benjamin Rappaz, Fabien Kuttler, Gerardo Turcatti, & Olaia Naveiras. (2018). High-throughput, nonperturbing quantification of lipid droplets with digital holographic microscopy. Journal of Lipid Research. 59(7). 1301–1310. 16 indexed citations

5.

Campos, Vasco, et al.. (2018). Cellular endogenous NAD(P)H fluorescence as a label‐free method for the identification of erythrocytes and reticulocytes. Cytometry Part A. 93(4). 472–479. 2 indexed citations

6.

Roch, Aline, Sonja Giger, Mukul Girotra, et al.. (2017). Single-cell analyses identify bioengineered niches for enhanced maintenance of hematopoietic stem cells. Nature Communications. 8(1). 221–221. 28 indexed citations

7.

Tratwal, Josefine, Olivier Burri, Vasco Campos, et al.. (2017). A standardized quantification tool for bone marrow components in histological sections. Experimental Hematology. 53. S62–S63. 1 indexed citations

8.

Vannini, Nicola, Mukul Girotra, Olaia Naveiras, et al.. (2016). Specification of haematopoietic stem cell fate via modulation of mitochondrial activity. Nature Communications. 7(1). 13125–13125. 193 indexed citations

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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