D. Lang

2.6k citations
56 papers · 2.1k · h-index 20

Impact in

Papers in

D. Lang

51 papers receiving 1.9k citations

Peers

D. Lang
Comparison fields: 5 of 119
  • Endocrinology, Diabetes and Metabolism 755
  • Surgery 791
  • Genetics 531
  • Endocrine and Autonomic Systems 102
  • Cardiology and Cardiovascular Medicine 258
Replace A. B. Kurtz with:
A. B. Kurtz United States
Nuala Murphy Ireland
P.M. Blix United States
Bo Isomaa Sweden
Céline Huot Canada
P. Bratusch-Marrain Austria
Assumpta Caixàs Spain
David A. Price United States
C.–D. Agardh Sweden
Nai‐Siang Jiang United States
D. Lang relative to A. B. Kurtz United States A. B. Kurtz's profile →
Citations per field
00.5×7.6×
A. B. Kurtz · 1×
Citations per year

Countries citing papers authored by D. Lang

Since Specialization
Citations

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

Fields of papers citing papers by D. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979350
2 1994334
3 1981234
4 1983151
5 1982103
6 198873
7 201359
8 201559
9 198957
10 200355
11 200049
12 199249
13 198845
14 199742
15 201341
16 198427
17 198026
18 201625
19 197321
20 199019

About D. Lang

D. Lang is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology, Pulmonary and Respiratory Medicine, Epidemiology and Surgery, having authored 56 papers that have together received 2.1k indexed citations. Recurring topics across this work include Congenital Heart Disease Studies (7 papers), Pharmacovigilance and Adverse Drug Reactions (7 papers), Cardiac Arrhythmias and Treatments (6 papers), Pancreatic function and diabetes (6 papers), Diabetes Management and Research (6 papers), Healthcare Decision-Making and Restraints (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Metabolism, Diabetes, and Cancer (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (755 citations), Surgery (791 citations), Genetics (531 citations), Endocrine and Autonomic Systems (102 citations) and Cardiology and Cardiovascular Medicine (258 citations). D. Lang has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include David R. Matthews, R. C. Turner, M. A. Burnett, Julian Peto, R. C. Turner, Merrill J. Rowley, Matthew L. Cohen, Paul Zimmet, U. Vetter and Glenn M. Ward. Their work appears in journals such as European Journal of Pediatrics, Ultrasound in Obstetrics and Gynecology, The Journal of Clinical Pharmacology, Diabetes and Journal of Molecular 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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