Adriano Maida

3.8k total citations
25 papers, 2.5k citations indexed

About

Adriano Maida is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Surgery. According to data from OpenAlex, Adriano Maida has authored 25 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Endocrinology, Diabetes and Metabolism, 12 papers in Molecular Biology and 9 papers in Surgery. Recurrent topics in Adriano Maida's work include Pancreatic function and diabetes (9 papers), Metabolism, Diabetes, and Cancer (9 papers) and Diabetes Treatment and Management (7 papers). Adriano Maida is often cited by papers focused on Pancreatic function and diabetes (9 papers), Metabolism, Diabetes, and Cancer (9 papers) and Diabetes Treatment and Management (7 papers). Adriano Maida collaborates with scholars based in Germany, Canada and United States. Adriano Maida's co-authors include Daniel J. Drucker, Gary Sweeney, Benjamin J. Lamont, Christine Longuet, Laurie L. Baggio, Yutaka Seino, Tanya Hansotia, Xia Fang, George Bikopoulos and Rolando B. Ceddia and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and Nature Communications.

In The Last Decade

Adriano Maida

25 papers receiving 2.5k citations

Peers

Adriano Maida
Comparison fields: 5 of 96
  • Molecular Biology 1.1k
  • Endocrinology, Diabetes and Metabolism 967
  • Surgery 744
  • Physiology 670
  • Epidemiology 577
Replace Yusaku Mori with:
Yusaku Mori Japan
Masatoshi Kikuchi Japan
Jamila Fruchart‐Najib France
Janet D. Sparks United States
Katsumi Iizuka Japan
Sanja Levak‐Frank Austria
Jörg Kotzka Germany
C.Ronald Kahn United States
Ke Ma United States
Kohjiro Ueki Japan
Yusaku Mori Japan View profile →
Citations per field, relative to Adriano Maida
Adriano Maida · 1×
Citations per year, relative to Adriano Maida
Adriano Maida · 1×

Countries citing papers authored by Adriano Maida

Since Specialization
Citations

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

Fields of papers citing papers by Adriano Maida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Adriano Maida

This figure shows the co-authorship network connecting the top 25 collaborators of Adriano Maida. A scholar is included among the top collaborators of Adriano Maida 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 Adriano Maida. Adriano Maida 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
# Work Indexed citations
1 5
2 87
3 28
4 51
5 206
6 25
7 135
8 28
9 37
10 146
11 97
12 36
13 253
14 162
15 72
16 205
17 247
18 95
19 283
20 8

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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