Daniel Giannella‐Neto

2.6k total citations
71 papers, 1.8k citations indexed

About

Daniel Giannella‐Neto is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Molecular Biology. According to data from OpenAlex, Daniel Giannella‐Neto has authored 71 papers receiving a total of 1.8k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Endocrinology, Diabetes and Metabolism, 22 papers in Surgery and 16 papers in Molecular Biology. Recurrent topics in Daniel Giannella‐Neto's work include Growth Hormone and Insulin-like Growth Factors (15 papers), Pituitary Gland Disorders and Treatments (12 papers) and Pancreatic function and diabetes (9 papers). Daniel Giannella‐Neto is often cited by papers focused on Growth Hormone and Insulin-like Growth Factors (15 papers), Pituitary Gland Disorders and Treatments (12 papers) and Pancreatic function and diabetes (9 papers). Daniel Giannella‐Neto collaborates with scholars based in Brazil, United States and United Kingdom. Daniel Giannella‐Neto's co-authors include B L Wajchenberg, R. F. Santos, Maria Lúcia Corrêa‐Giannella, Marcello D. Bronstein, James S. Forrester, James A. Fagin, Bojan Cercek, Carlos J. Pirola, Behrooz G. Sharifi and Joel M. Kupfer and has published in prestigious journals such as Journal of Clinical Investigation, Circulation Research and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Daniel Giannella‐Neto

69 papers receiving 1.7k citations

Peers

Daniel Giannella‐Neto
Comparison fields: 5 of 105
  • Endocrinology, Diabetes and Metabolism 736
  • Molecular Biology 526
  • Surgery 397
  • Epidemiology 394
  • Physiology 376
Replace Maria Lúcia Corrêa‐Giannella with:
Maria Lúcia Corrêa‐Giannella Brazil
Iseki Takamoto Japan
David Vicent Spain
Ana Megía Spain
Kohzo Takebayashi Japan
Kunihiro Suzuki Japan
Guijun Qin China
Annabelle Rodríguez United States
Eun Hee Kim South Korea
Yasumichi Mori Japan
Maria Lúcia Corrêa‐Giannella Brazil View profile →
Citations per field, relative to Daniel Giannella‐Neto
Daniel Giannella‐Neto · 1×
Citations per year, relative to Daniel Giannella‐Neto
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Countries citing papers authored by Daniel Giannella‐Neto

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Giannella‐Neto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Giannella‐Neto. 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 Daniel Giannella‐Neto. The network helps show where Daniel Giannella‐Neto may publish in the future.

Co-authorship network of co-authors of Daniel Giannella‐Neto

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Giannella‐Neto. A scholar is included among the top collaborators of Daniel Giannella‐Neto 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 Daniel Giannella‐Neto. Daniel Giannella‐Neto 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 19
2 33
3 35
4 17
5 27
6 5
7 33
8 23
9 59
10 56
11 14
12 18
13 9
14 54
15 40
16 33
17 13
18 300
19 19
20 4

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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