Ruth Schwarzer

659 citations
13 papers · 493 · h-index 8

Impact in

  • Hepatology top 5%
    • Hepatitis C virus research
    • Liver Disease and Transplantation
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Adipokines, Inflammation, and Metabolic Diseases 4
    • Hepatitis B Virus Studies 2
    • Lipoproteins and Cardiovascular Health 3

Ruth Schwarzer

12 papers receiving 470 citations

Peers

Ruth Schwarzer
Comparison fields: 5 of 72
  • Hepatology 227
  • Epidemiology 238
  • Economics and Econometrics 118
  • Statistics and Probability 35
  • Cancer Research 35
Replace Annette Conrads‐Frank with:
Annette Conrads‐Frank United States
Vivek Pawar United States
Adriana Valderrama United States
Tae Hyup Kim South Korea
Shivani K. Mhatre United States
A. Burak Ozbay United States
Ved Tandan Canada
Róisín Adams Ireland
Lee Mozessohn Canada
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Citations per field
00.5×2.9×
Annette Conrads‐Frank · 1×
Citations per year

Countries citing papers authored by Ruth Schwarzer

Since Specialization
Citations

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

Fields of papers citing papers by Ruth Schwarzer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

13 of 13 papers shown
#Work
1 2009170
2 2015102
3 200873
4 200869
5 200936
6 201018
7 20148
8 20097
9 20115
10 20093
11
Individual health services
20111
12 20131
13 20090

About Ruth Schwarzer

Ruth Schwarzer is a scholar working on Epidemiology, Surgery, General Health Professions, Economics and Econometrics and Cardiology and Cardiovascular Medicine, having authored 13 papers that have together received 493 indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Lipoproteins and Cardiovascular Health (3 papers), Delphi Technique in Research (2 papers), Healthcare cost, quality, practices (2 papers), Acute Myocardial Infarction Research (2 papers), Hepatitis B Virus Studies (2 papers) and Hepatitis C virus research (2 papers). The work is most often cited by research in Hepatology (227 citations), Epidemiology (238 citations), Economics and Econometrics (118 citations), Statistics and Probability (35 citations) and Cancer Research (35 citations). Ruth Schwarzer has collaborated with scholars based in United States, Germany and Austria. Frequent co-authors include Uwe Siebert, Gaby Sroczynski, Nikolai Mühlberger, Beate Lettmeier, Stefan Zeuzem, Petra Schnell‐Inderst, Björn Stollenwerk, Davene R. Wright, Rebecca A. Miksad and Vera Zietemann. Their work appears in journals such as International Journal of Technology Assessment in Health Care, Journal of Hepatology, BMC Public Health, Applied Health Economics and Health Policy and International Journal of Public Health.

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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