Mario Stoll

15 papers receiving 246 citations

Peers

Mario Stoll
Comparison fields: 5 of 55
  • Medical Terminology 1
  • Gastroenterology 19
  • Plant Science 107
  • Cancer Research 32
  • Hematology 17
Replace Miho Kikuchi with:
Miho Kikuchi Japan
Kaitlin P. Curry United States
Paola Cianci Italy
Aiju Hou United States
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Changli Tao China
Yiwei Sun United States
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Yun-Sheng Chang China
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Citations per field
00.5×3.8×
Miho Kikuchi · 1×
Citations per year

Countries citing papers authored by Mario Stoll

Since Specialization
Citations

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

Fields of papers citing papers by Mario Stoll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Mario Stoll, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mario Stoll Line = papers co-authored together Mario Stoll links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 198573
2 197442
3 201030
4 200429
5 200928
6 200922
7
Haploid karyotype analysis of chelymorpha variabilis boheman (coleoptera, chrysomelidae) with microspreading techniques
199110
8 19867
9
Previniendo el infarto en el adulto joven: GENYCO, un registro nacional de hipercolesterolemia familiar
20114
10
Genotipo de los genes VKORC1 y CYP2C9 en la respuesta individual a la warfarina
20083
11
Respuesta terapéutica inadecuada a la warfarina en un paciente genéticamente susceptible
20053
12
Variantes de los genes CYP2C9 y apolipoproteína E en la respuesta individual a la warfarina
20062
13 20151
14
Mutación en el gen de apolipoproteína B responsable de hipercolesterolemia familiar: primeros dos casos clínicos reportados en Uruguay
20131
15 20091
16 20080

About Mario Stoll

Mario Stoll is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Genetics, Plant Science and Molecular Biology, having authored 16 papers that have together received 256 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Scarabaeidae Beetle Taxonomy and Biogeography (2 papers), Hormonal Regulation and Hypertension (2 papers), Pharmacogenetics and Drug Metabolism (2 papers), Chromosomal and Genetic Variations (2 papers), Health and Lifestyle Studies (1 paper) and Vitamin K Research Studies (1 paper). The work is most often cited by research in Medical Terminology (1 citation), Gastroenterology (19 citations), Plant Science (107 citations), Cancer Research (32 citations) and Hematology (17 citations). Mario Stoll has collaborated with scholars based in Uruguay, United States and Poland. Frequent co-authors include Máximo E. Drets, Martin Sumner-Smith, J. Antoni Rafalski, Takashi Sugiyama, Eduardo De Stéfani, Álvaro L. Ronco, C Sanguinetti, Brigitte Mlineritsch, Christian Menzel and Hugo Deneo‐Pellegrini. Their work appears in journals such as Diabetes Care, The Breast, Nucleic Acids Research, European Journal of Surgical Oncology and Journal of Oral and Maxillofacial Surgery.

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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