J. Ampudia

529 total citations
11 papers, 409 citations indexed

About

J. Ampudia is a scholar working on Molecular Biology, Endocrinology, Diabetes and Metabolism and Obstetrics and Gynecology. According to data from OpenAlex, J. Ampudia has authored 11 papers receiving a total of 409 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Endocrinology, Diabetes and Metabolism and 3 papers in Obstetrics and Gynecology. Recurrent topics in J. Ampudia's work include Pregnancy and preeclampsia studies (3 papers), Diabetes Treatment and Management (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). J. Ampudia is often cited by papers focused on Pregnancy and preeclampsia studies (3 papers), Diabetes Treatment and Management (3 papers) and Metabolism, Diabetes, and Cancer (3 papers). J. Ampudia collaborates with scholars based in Spain, Germany and Hong Kong. J. Ampudia's co-authors include Tim Heise, A. Starke, Lutz Heinemann, Michael Trautmann, Michael Berger, Mercè Fernández-Balsells, Wifredo Ricart, P. Navarro, José Manuel Fernández‐Real and Rosa Corcoy and has published in prestigious journals such as Diabetologia, Journal of Epidemiology & Community Health and Diabetic Medicine.

In The Last Decade

J. Ampudia

10 papers receiving 393 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Ampudia Spain 6 236 179 141 134 36 11 409
Björg Ásbjörnsdóttir Denmark 12 277 1.2× 166 0.9× 195 1.4× 132 1.0× 70 1.9× 29 443
Eric Durak United States 7 169 0.7× 110 0.6× 86 0.6× 91 0.7× 13 0.4× 12 323
Patrick Henley New Zealand 7 270 1.1× 107 0.6× 92 0.7× 127 0.9× 15 0.4× 9 338
M. Charlton United Kingdom 6 150 0.6× 89 0.5× 108 0.8× 50 0.4× 59 1.6× 11 259
Marianne Vestgaard Denmark 13 339 1.4× 96 0.5× 116 0.8× 155 1.2× 44 1.2× 30 466
E Glöckner Germany 4 259 1.1× 94 0.5× 88 0.6× 142 1.1× 24 0.7× 7 352
M. Sorger Germany 9 144 0.6× 137 0.8× 118 0.8× 49 0.4× 68 1.9× 32 302
Sergio Donnay Spain 10 158 0.7× 55 0.3× 127 0.9× 109 0.8× 29 0.8× 29 323
Sirkku Tulokas Finland 4 153 0.6× 91 0.5× 76 0.5× 42 0.3× 52 1.4× 5 319
Tamara C. Takoudes United States 8 154 0.7× 111 0.6× 37 0.3× 93 0.7× 12 0.3× 13 276

Countries citing papers authored by J. Ampudia

Since Specialization
Citations

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

Fields of papers citing papers by J. Ampudia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Ampudia

This figure shows the co-authorship network connecting the top 25 collaborators of J. Ampudia. A scholar is included among the top collaborators of J. Ampudia 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 J. Ampudia. J. Ampudia 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.
2.
Chong, Yeeting E., Steve P. Crampton, Li Zhai, et al.. (2020). ATYR1923 Specifically Binds to Neuropilin-2, a Novel Therapeutic Target for the Treatment of Immune-Mediated Diseases. Rare & Special e-Zone (The Hong Kong University of Science and Technology). A3074–A3074. 2 indexed citations
3.
Ricart, Wifredo, Juan Mozas, A. Pericot, et al.. (2008). Maternal glucose tolerance status influences the risk of macrosomia in male but not in female fetuses. Journal of Epidemiology & Community Health. 63(1). 64–68. 49 indexed citations
4.
Ricart, Wifredo, José López López, Juan Mozas, et al.. (2005). Potential impact of American Diabetes Association (2000) criteria for diagnosis of gestational diabetes mellitus in Spain. Diabetologia. 48(6). 1135–1141. 89 indexed citations
5.
Ricart, Wifredo, José López López, Juan Mozas, et al.. (2005). Body mass index has a greater impact on pregnancy outcomes than gestational hyperglycaemia. Diabetologia. 48(9). 1736–1742. 124 indexed citations
7.
Heinemann, Lutz, Tim Heise, Michael Trautmann, et al.. (1996). Prandial Glycaemia After a Carbohydrate-rich Meal in Type I Diabetic Patients: Using the Rapid Acting Insulin Analogue [Lys(B28), Pro(B29)] Human Insulin. Diabetic Medicine. 13(7). 625–629. 105 indexed citations
8.
Heinemann, L, Tim Heise, Michael Trautmann, et al.. (1996). Prandial Glycaemia After a Carbohydrate‐rich Meal in Type I Diabetic Patients: Using the Rapid Acting Insulin Analogue [Lys(B28), Pro(B29)] Human Insulin. Diabetic Medicine. 13(7). 625–629. 8 indexed citations
9.
Heinemann, Lutz, Tim Heise, J. Ampudia, et al.. (1995). Four week administration of an ACE inhibitor and a cardioselective β‐blocker in healthy volunteers: no influence on insulin sensitivity. European Journal of Clinical Investigation. 25(8). 595–600. 22 indexed citations
10.
Heinemann, Lutz, et al.. (1995). Time-action profiles of the intermediate-acting insulin analogue des(64,65)-human proinsulin.. PubMed. 21(6). 415–9. 5 indexed citations
11.
Ampudia, J., et al.. (1993). [Thyroid ophthalmopathy: clinical and tomographic study].. PubMed. 100(12). 447–9. 1 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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