Schafer Boeder

833 citations
21 papers · 504 · h-index 11

Impact in

Papers in

    • Diabetes Management and Research 10
    • Diabetes Treatment and Management 7
    • Hyperglycemia and glycemic control in critically ill and hospitalized patients 4
    • Pancreatic function and diabetes 5

Schafer Boeder

17 papers receiving 487 citations

Peers

Schafer Boeder
Comparison fields: 5 of 79
  • Endocrinology, Diabetes and Metabolism 203
  • Infectious Diseases 82
  • Genetics 104
  • Endocrine and Autonomic Systems 23
  • Physiology 71
Replace V. Tony Chetty with:
V. Tony Chetty Canada
Juliana Chizo Agwu United Kingdom
Florencia Ceriani Uruguay
Mehmet Saldır Türkiye
Konstantinos Kakleas Greece
Oana Albai Romania
João Soares Felício Brazil
Masamoto Torisu Japan
Hessa Alkandari Kuwait
Maria Giulia Berioli Italy
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Citations per field
00.5×6.8×
V. Tony Chetty · 1×
Citations per year

Countries citing papers authored by Schafer Boeder

Since Specialization
Citations

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

Fields of papers citing papers by Schafer Boeder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Schafer Boeder, 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 Schafer Boeder Line = papers co-authored together Schafer Boeder 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 2020190
2 201557
3 201751
4 202240
5 201932
6 202326
7 202223
8 202019
9 202416
10 202411
11 202211
12 202110
13 20227
14 20246
15 20243
16 20201
17 20221
18 20210
19 20250
20 20250

About Schafer Boeder

Schafer Boeder is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Physiology, Genetics and Infectious Diseases, having authored 21 papers that have together received 504 indexed citations. Recurring topics across this work include Diabetes Management and Research (10 papers), Diabetes Treatment and Management (7 papers), Pancreatic function and diabetes (5 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (4 papers), Diabetes and associated disorders (3 papers), Diet and metabolism studies (2 papers), Obstructive Sleep Apnea Research (1 paper) and Liver Disease Diagnosis and Treatment (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (203 citations), Infectious Diseases (82 citations), Genetics (104 citations), Endocrine and Autonomic Systems (23 citations) and Physiology (71 citations). Schafer Boeder has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Jeremy Pettus, Erin R. Giovannetti, Justin M. Gregory, Steven V. Edelman, Daniel J. Moore, Allison B. McCoy, James M. Luther, Lauren M. LeStourgeon, Sara H. Duffus and James C. Slaughter. Their work appears in journals such as Diabetes Obesity and Metabolism, Diabetes Care, Diabetes, Journal of Diabetes Science and Technology and Nature Medicine.

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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