Gerhard Sulo

66 papers receiving 1.4k citations

Peers

Gerhard Sulo
Comparison fields: 5 of 102
  • Biological Psychiatry 94
  • Obstetrics and Gynecology 210
  • Cardiology and Cardiovascular Medicine 407
  • Behavioral Neuroscience 34
  • Pediatrics, Perinatology and Child Health 98
Replace M. L. Bots with:
M. L. Bots Netherlands
Nilay S. Shah United States
Kathryn J. Lindley United States
Michael E. Mussolino United States
Massimo Gallerani Italy
Oluseye Ogunmoroti United States
Simerjot K Jassal United States
Michele Chiappa United States
Abhinav Goyal United States
Kristine Y. Lain United States
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Citations per field
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M. L. Bots · 1×
Citations per year

Countries citing papers authored by Gerhard Sulo

Since Specialization
Citations

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

Fields of papers citing papers by Gerhard Sulo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 68 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201393
2 201689
3 201881
4 201780
5 201371
6 201370
7 201553
8 201849
9 202047
10 201944
11 200836
12 200731
13 201431
14 201730
15 201728
16 201426
17 201425
18
Conventional risk factors and acute coronary syndrome during a period of socioeconomic transition: population-based case-control study in Tirana, Albania.
200725
19 201624
20 201624

About Gerhard Sulo

Gerhard Sulo is a scholar working on Cardiology and Cardiovascular Medicine, Epidemiology, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Periodontics, having authored 68 papers that have together received 1.4k indexed citations. Recurring topics across this work include Acute Myocardial Infarction Research (11 papers), Pregnancy and preeclampsia studies (5 papers), Heart Failure Treatment and Management (5 papers), Chronic Disease Management Strategies (4 papers), Dental Health and Care Utilization (3 papers), Health Promotion and Cardiovascular Prevention (3 papers), Autopsy Techniques and Outcomes (2 papers) and Folate and B Vitamins Research (2 papers). The work is most often cited by research in Biological Psychiatry (94 citations), Obstetrics and Gynecology (210 citations), Cardiology and Cardiovascular Medicine (407 citations), Behavioral Neuroscience (34 citations) and Pediatrics, Perinatology and Child Health (98 citations). Gerhard Sulo has collaborated with scholars based in Norway, United States and Albania. Frequent co-authors include Grethe S. Tell, Jannicke Igland, Ottar Nygård, Marta Ebbing, Grace M. Egeland, Hilde Kristin Refvik Riise, Anne Kjersti Daltveit, Ann‐Charlotte Iversen, Per Magne Ueland and Øivind Midttun. Their work appears in journals such as International Journal of Cardiology, Journal of the American Heart Association, European Journal of Preventive Cardiology, Journal of Internal Medicine and BMJ Open.

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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