Viveca Ritsinger

490 citations
21 papers · 300 · h-index 10

Impact in

Papers in

Viveca Ritsinger

19 papers receiving 289 citations

Peers

Viveca Ritsinger
Comparison fields: 5 of 56
  • Endocrinology, Diabetes and Metabolism 167
  • Cardiology and Cardiovascular Medicine 164
  • Surgery 68
  • Internal Medicine 5
  • Radiology, Nuclear Medicine and Imaging 29
Replace Shih‐Jie Jhuo with:
Shih‐Jie Jhuo Taiwan
U Bhalraam United Kingdom
Xuze Lin China
Christine Gyldenkerne Denmark
Kristian Løkke Funck Denmark
Marcello Ravani Italy
Pernille Gro Thrane Denmark
Takahiro Nishihara Japan
Angelo Sansonetti Italy
Fumitaka Soga Japan
Viveca Ritsinger relative to Shih‐Jie Jhuo Taiwan Shih‐Jie Jhuo's profile →
Citations per field
00.5×3.6×
Shih‐Jie Jhuo · 1×
Citations per year

Countries citing papers authored by Viveca Ritsinger

Since Specialization
Citations

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

Fields of papers citing papers by Viveca Ritsinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201465
2 201548
3 201443
4 202029
5 201619
6 201917
7 202014
8 201713
9 20189
10 20179
11 20248
12 20216
13 20185
14 20224
15 20234
16 20233
17 20182
18 20221
19 20221
20 20240

About Viveca Ritsinger

Viveca Ritsinger is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Molecular Biology, Infectious Diseases and Surgery, having authored 21 papers that have together received 300 indexed citations. Recurring topics across this work include Diabetes Treatment and Management (11 papers), Diabetes Management and Research (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (5 papers), Cardiovascular Function and Risk Factors (4 papers), COVID-19 Clinical Research Studies (3 papers), Coronary Interventions and Diagnostics (3 papers) and Long-Term Effects of COVID-19 (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (167 citations), Cardiology and Cardiovascular Medicine (164 citations), Surgery (68 citations), Internal Medicine (5 citations) and Radiology, Nuclear Medicine and Imaging (29 citations). Viveca Ritsinger has collaborated with scholars based in Sweden, Brazil and Denmark. Frequent co-authors include Anna Norhammar, Klas Malmberg, Nawsad Saleh, Bo Lagerqvist, Bo Lagerqvist, Per Näsman, Hans Wedel, Lars Rydén, Lars Rydén and Åke Tenerz. Their work appears in journals such as Diabetes and Vascular Disease Research, Cardiovascular Diabetology, European Heart Journal, European Journal of Preventive Cardiology 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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