Manuel Dolz

586 total citations
11 papers, 476 citations indexed

About

Manuel Dolz is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Genetics. According to data from OpenAlex, Manuel Dolz has authored 11 papers receiving a total of 476 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Surgery, 3 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Genetics. Recurrent topics in Manuel Dolz's work include Pancreatic function and diabetes (4 papers), Diabetes and associated disorders (3 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). Manuel Dolz is often cited by papers focused on Pancreatic function and diabetes (4 papers), Diabetes and associated disorders (3 papers) and Botulinum Toxin and Related Neurological Disorders (2 papers). Manuel Dolz collaborates with scholars based in France, Italy and Tunisia. Manuel Dolz's co-authors include Bernard Portha, Marie-Noëlle Gangnerau, Sophie Caldérari, Katharina Rickenbach, Patricia Serradas, Jean-Claude Irminger, Philippe Blancou, Roberto Mallone, Jean‐Marie Bach and Josiane Coulaud and has published in prestigious journals such as The Journal of Immunology, Diabetes and American Journal of Physiology-Endocrinology and Metabolism.

In The Last Decade

Manuel Dolz

11 papers receiving 464 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Dolz France 7 280 278 191 117 64 11 476
Tetsuyuki Yasuda Japan 7 146 0.5× 94 0.3× 144 0.8× 12 0.1× 97 1.5× 21 340
Emily G. Moser United States 11 200 0.7× 96 0.3× 268 1.4× 14 0.1× 29 0.5× 13 377
Süreyya Ceylan Türkiye 9 87 0.3× 25 0.1× 59 0.3× 29 0.2× 54 0.8× 13 354
László Gerő Hungary 8 183 0.7× 141 0.5× 194 1.0× 10 0.1× 59 0.9× 28 330
Henry K. Driscoll United States 12 128 0.5× 89 0.3× 145 0.8× 18 0.2× 139 2.2× 24 385
Tomohiro Katsuya Japan 8 55 0.2× 95 0.3× 120 0.6× 8 0.1× 68 1.1× 11 341
Fatma Mnif Tunisia 12 69 0.2× 66 0.2× 246 1.3× 17 0.1× 151 2.4× 44 425
Nicholas Bhagroo United States 9 257 0.9× 139 0.5× 163 0.9× 29 0.2× 120 1.9× 11 400
Per-Ola Carlsson Sweden 8 215 0.8× 129 0.5× 160 0.8× 22 0.2× 82 1.3× 9 372
Nastaran Foyouzi United States 13 41 0.1× 67 0.2× 114 0.6× 120 1.0× 74 1.2× 18 481

Countries citing papers authored by Manuel Dolz

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Dolz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Dolz

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

All Works

11 of 11 papers shown
1.
Grimaud, Olivier, Sahar Bayat, Anne Renault, et al.. (2021). TRANSCOV cohort protocol: an epidemiological study assessing the impact of critically ill COVID-19 patients long distance transfers between intensive care units. BMJ Open. 11(10). e054774–e054774. 3 indexed citations
2.
3.
Calvet, Jean‐Henri, et al.. (2016). Étude de la reproductibilité et de la répétabilité de Sudoscan, un outil pour le dépistage précoce et le suivi de la neuropathie autonome. Revue Neurologique. 172. A109–A110. 2 indexed citations
4.
Mohammedi, Kamel, Louis Potier, Maud François, et al.. (2016). The evaluation of off‐loading using a new removable oRTHOsis in DIABetic foot (ORTHODIAB) randomized controlled trial: study design and rationale. Journal of Foot and Ankle Research. 9(1). 34–34. 5 indexed citations
5.
6.
Dolz, Manuel, Jamileh Movassat, Danielle Bailbé, et al.. (2011). cAMP-secretion coupling is impaired in diabetic GK/Par rat β-cells: a defect counteracted by GLP-1. American Journal of Physiology-Endocrinology and Metabolism. 301(5). E797–E806. 20 indexed citations
7.
Portha, Bernard, et al.. (2009). Des modèles animaux pour étudier l’origine développementale des maladies métaboliques de l’adulte : application à l’étude du risque de diabète. Cahiers de Nutrition et de Diététique. 44(2). 77–84. 2 indexed citations
8.
Blancou, Philippe, Roberto Mallone, Emanuela Martinuzzi, et al.. (2007). Immunization of HLA Class I Transgenic Mice Identifies Autoantigenic Epitopes Eliciting Dominant Responses in Type 1 Diabetes Patients. The Journal of Immunology. 178(11). 7458–7466. 39 indexed citations
9.
Mallone, Roberto, Emanuela Martinuzzi, Philippe Blancou, et al.. (2007). CD8+ T-Cell Responses Identify β-Cell Autoimmunity in Human Type 1 Diabetes. Diabetes. 56(3). 613–621. 156 indexed citations
10.
Homo‐Delarche, Françoise, Sophie Caldérari, Jean-Claude Irminger, et al.. (2006). Islet Inflammation and Fibrosis in a Spontaneous Model of Type 2 Diabetes, the GK Rat. Diabetes. 55(6). 1625–1633. 173 indexed citations
11.

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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2026