G. Giani

3.4k citations
70 papers · 2.5k · h-index 27

Impact in

Papers in

G. Giani

67 papers receiving 2.4k citations

Peers

G. Giani
Comparison fields: 5 of 118
  • Endocrinology, Diabetes and Metabolism 653
  • Microbiology 97
  • Epidemiology 435
  • Genetics 336
  • Physiology 207
Replace José Gerardo González‐González with:
José Gerardo González‐González Mexico
S. F. Kelsey United States
K M Vranizan United States
Naji Younes United States
Giuseppe Signoriello Italy
Praveen Sharma India
Fiona Campbell United Kingdom
Mauro Giordano Italy
Scott J. Jacober United States
Yung Lee Canada
G. Giani relative to José Gerardo González‐González Mexico José Gerardo González‐González's profile →
Citations per field
00.5×7.5×
José Gerardo González‐González · 1×
Citations per year

Countries citing papers authored by G. Giani

Since Specialization
Citations

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

Fields of papers citing papers by G. Giani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside G. Giani, 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 G. Giani Line = papers co-authored together G. Giani links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 70 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003385
2 2002265
3 1996145
4 2009125
5 2007104
6 200986
7 201275
8 200272
9 199969
10 200567
11 200965
12 200857
13 201054
14 200351
15 200847
16 201046
17 199739
18 201338
19 200238
20 200135

About G. Giani

G. Giani is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Genetics and Nephrology, having authored 70 papers that have together received 2.5k indexed citations. Recurring topics across this work include Diabetes and associated disorders (8 papers), Diabetes Management and Research (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Diabetes Treatment and Management (5 papers), Diabetes Management and Education (5 papers), Optimal Experimental Design Methods (4 papers), Statistical Methods in Clinical Trials (4 papers) and Pneumonia and Respiratory Infections (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (653 citations), Microbiology (97 citations), Epidemiology (435 citations), Genetics (336 citations) and Physiology (207 citations). G. Giani has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Wolfgang Rathmann, Andrea Icks, Burkhard Haastert, Christa Meisinger, Joachim Rosenbauer, Rolf Holle, Petra Herzig, Hannelore Löwel, Barbara Thorand and Klaus Straßburger. Their work appears in journals such as Diabetic Medicine, Diabetologia, Experimental and Clinical Endocrinology & Diabetes, Journal of Statistical Planning and Inference and The Journal of Urology.

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.

Explore authors with similar magnitude of impact