Timo Sane

3.7k citations
47 papers · 2.2k · h-index 26

Impact in

Papers in

Timo Sane

47 papers receiving 2.1k citations

Peers

Timo Sane
Comparison fields: 5 of 88
  • Endocrinology, Diabetes and Metabolism 1.3k
  • Reproductive Medicine 115
  • Cancer Research 188
  • Surgery 519
  • Epidemiology 401
Replace Tianpei Hong with:
Tianpei Hong China
Wojciech Zgliczyński Poland
Maria Grazia Castagna Italy
Helmut Schatz Germany
Guijun Qin China
Olusegun A. Mojiminiyi Kuwait
Stephanie E Baldeweg United Kingdom
J. F. Henry France
Θεοδώρα Παππά United States
Elisabeth Widén Finland
Timo Sane relative to Tianpei Hong China Tianpei Hong's profile →
Citations per field
00.5×1.5×2.4×
Tianpei Hong · 1×
Citations per year

Countries citing papers authored by Timo Sane

Since Specialization
Citations

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

Fields of papers citing papers by Timo Sane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005208
2 2003166
3 2007123
4 2007110
5 1987100
6 198398
7 198993
8 201486
9 198785
10 200681
11 200272
12 200863
13 201161
14 198761
15 200860
16 198454
17 198953
18 201252
19 199150
20 200949

About Timo Sane

Timo Sane is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Surgery, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 47 papers that have together received 2.2k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (11 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Adrenal and Paraganglionic Tumors (6 papers), Diabetes Management and Research (5 papers), Lipid metabolism and disorders (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Metabolism, Diabetes, and Cancer (3 papers) and Diabetes Treatment and Management (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (1.3k citations), Reproductive Medicine (115 citations), Cancer Research (188 citations), Surgery (519 citations) and Epidemiology (401 citations). Timo Sane has collaborated with scholars based in Finland, United States and Germany. Frequent co-authors include Esko A. Nikkilä, Marja‐Riitta Taskinen, Matti Välimäki, Tuula Pekkarinen, Pertti Mustajoki, Jarmo Kaukua, Risto Pelkonen, Ritva Kauppinen‐Mäkelin, Pasi Salmela and Helene Markkanen. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Diabetes Care, Journal of Clinical Pathology, Atherosclerosis and American Heart Journal.

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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