Daniele Bottigliengo

649 citations
35 papers · 378 indexed · h-index 11
Topics
Advanced Causal Inference Techniques (3 papers)Transplantation: Methods and Outcomes (3 papers)Diabetes Treatment and Management (3 papers)
Journals
SHILAP Revista de lepidopterologíaBrainNutrients

In The Last Decade

Daniele Bottigliengo

34 papers receiving 373 citations

Peers

Daniele Bottigliengo
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 86
  • Surgery 66
  • Epidemiology 65
  • Molecular Biology 54
  • Endocrinology, Diabetes and Metabolism 49
Replace Hannah Park with:
Hannah Park United States
Xiaoyan Yan China
Jennifer A. Collister United Kingdom
Jakob Dörler Austria
Yasuhiro Matsubayashi Japan
Héléne T. Cronjé Denmark
Ronaldo Altenburg Gismondi Brazil
Puru Rattan United States
Kan Liu United States
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Citations per year

Countries citing papers authored by Daniele Bottigliengo

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Bottigliengo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Bottigliengo

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 2
3 3
4 6
5 3
6 1
7 2
8 54
9 5
10 2
11 5
12 8
13 6
14 32
15 10
16 15
17 9
18 10
19 14
20 0

About Daniele Bottigliengo

Daniele Bottigliengo is a scholar working on Transplantation, Statistics and Probability and Developmental Neuroscience, having authored 35 papers that have together received 378 indexed citations. Recurring topics across this work include Advanced Causal Inference Techniques (3 papers), Transplantation: Methods and Outcomes (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Health Informatics (17 citations), Health Information Management (19 citations) and Cardiology and Cardiovascular Medicine (86 citations). Daniele Bottigliengo has collaborated with scholars based in Italy, Germany and United States. Frequent co-authors include Darío Gregori, Giulia Lorenzoni, Ileana Baldi, Corrado Lanera, Fabiola Del Greco M, Philip Seibler, Inke R. König, Christine Klein, Luisa Foco and Paola Berchialla. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain and Nutrients.

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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