Daniel Schurr

881 citations
18 papers · 215 · h-index 8

Impact in

Papers in

    • Lipoproteins and Cardiovascular Health 9
    • Cholesterol and Lipid Metabolism 3
    • Pancreatic function and diabetes 1
    • Genetic Associations and Epidemiology 2

Daniel Schurr

17 papers receiving 208 citations

Peers

Daniel Schurr
Comparison fields: 5 of 58
  • Biochemistry 26
  • Endocrinology, Diabetes and Metabolism 60
  • Surgery 130
  • Nephrology 15
  • Nutrition and Dietetics 26
Replace Longina Kłosiewicz−Latoszek with:
Longina Kłosiewicz−Latoszek Poland
Cumhur Kılınç Türkiye
Verónica Escurriol Spain
G Urbinati Italy
Abdolsamad Gharavi Iran
Phillip Bukberg United States
Ana M. Ortiz-Morales Spain
Ana B. Hidalgo Spain
Y Henkin Israel
Phạm Trần Phương Vietnam
Daniel Schurr relative to Longina Kłosiewicz−Latoszek Poland Longina Kłosiewicz−Latoszek's profile →
Citations per field
00.5×2.9×
Longina Kłosiewicz−Latoszek · 1×
Citations per year

Countries citing papers authored by Daniel Schurr

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Schurr

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

18 of 18 papers shown
#Work
1 200952
2 201241
3 200925
4 199524
5 201617
6 198415
7
Pre-placement screening in international adoption.
200310
8 19837
9 19857
10 19846
11
One year experience with a low density lipoprotein apheresis system.
20023
12 20192
13 20102
14
[Statins and muscle pain].
20141
15 20121
16 20091
17 20081
18 20250

About Daniel Schurr

Daniel Schurr is a scholar working on Surgery, Genetics, Pharmacology, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism, having authored 18 papers that have together received 215 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (9 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Lipid metabolism and disorders (3 papers), Cholesterol and Lipid Metabolism (3 papers), Pharmacology and Obesity Treatment (3 papers), Genetic Associations and Epidemiology (2 papers), Pancreatic function and diabetes (1 paper) and Metabolism, Diabetes, and Cancer (1 paper). The work is most often cited by research in Biochemistry (26 citations), Endocrinology, Diabetes and Metabolism (60 citations), Surgery (130 citations), Nephrology (15 citations) and Nutrition and Dietetics (26 citations). Daniel Schurr has collaborated with scholars based in Israel, United States and South Africa. Frequent co-authors include Eran Leitersdorf, Joseph Kanner, Ron Kohen, Shlomit Gorelik, Avishalom Pomeranz, Alfred Drukker, Yechiel Friedlander, Tamás Szamosi, Frederick J. Raal and Deborah Rund. Their work appears in journals such as The Journal of Pediatrics, Atherosclerosis, Burns, Journal of Pediatric Gastroenterology and Nutrition and ˜The œNephron journals/Nephron journals.

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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