M T Camps

536 total citations
3 papers, 67 citations indexed

About

M T Camps is a scholar working on Pathology and Forensic Medicine, Molecular Biology and Surgery. According to data from OpenAlex, M T Camps has authored 3 papers receiving a total of 67 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Pathology and Forensic Medicine, 2 papers in Molecular Biology and 1 paper in Surgery. Recurrent topics in M T Camps's work include Systemic Sclerosis and Related Diseases (3 papers), Connective Tissue Growth Factor Research (2 papers) and Skin Diseases and Diabetes (1 paper). M T Camps is often cited by papers focused on Systemic Sclerosis and Related Diseases (3 papers), Connective Tissue Growth Factor Research (2 papers) and Skin Diseases and Diabetes (1 paper). M T Camps collaborates with scholars based in Netherlands, Spain and Sweden. M T Camps's co-authors include Norberto Ortego‐Centeno, Marieke J. H. Coenen, J Sánchez-Román, Timothy R. D. J. Radstake, Javier Martı́n, F.H.J. van den Hoogen, A. Pros, V Fonollosa, Miguel Á. González‐Gay and Rosa García-Portales and has published in prestigious journals such as Annals of the Rheumatic Diseases and Lund University Publications (Lund University).

In The Last Decade

M T Camps

3 papers receiving 67 citations

Peers

M T Camps
M T Camps
Citations per year, relative to M T Camps M T Camps (= 1×) peers Haruyuki Yanaoka

Countries citing papers authored by M T Camps

Since Specialization
Citations

This map shows the geographic impact of M T Camps'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 M T Camps with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M T Camps more than expected).

Fields of papers citing papers by M T Camps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M T Camps. 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 M T Camps. The network helps show where M T Camps may publish in the future.

Co-authorship network of co-authors of M T Camps

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

All Works

3 of 3 papers shown
1.
Rueda‐Medina, Blanca, Carmen Pilar Simeón‐Aznar, Roger Hesselstrand, et al.. (2008). A large multicenter analysis of CTGF-945 promoter polymorphism does not confirm association with systemic Sclerosis susceptibility or phenotype. Lund University Publications (Lund University). 58(9). 588–589. 1 indexed citations
2.
Herrick, Ariane L., Jane Worthington, Norberto Ortego‐Centeno, et al.. (2008). A large multicentre analysis of CTGF −945 promoter polymorphism does not confirm association with systemic sclerosis susceptibility or phenotype. Annals of the Rheumatic Diseases. 68(10). 1618–1620. 33 indexed citations
3.
Torres, Orlando, Norberto Ortego‐Centeno, V Fonollosa, et al.. (2008). The interleukin 23 receptor gene does not confer risk to systemic sclerosis and is not associated with systemic sclerosis disease phenotype. Annals of the Rheumatic Diseases. 68(2). 253–256. 33 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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