D. Lang

2.6k citations
54 papers · 2.0k · h-index 19

Impact in

Papers in

D. Lang

51 papers receiving 1.9k citations

Peers

D. Lang
Comparison fields: 5 of 124
  • Endocrinology, Diabetes and Metabolism 809
  • Genetics 523
  • Surgery 827
  • Endocrine and Autonomic Systems 104
  • Cardiology and Cardiovascular Medicine 302
Replace Nuala Murphy with:
Nuala Murphy Ireland
Céline Huot Canada
A. B. Kurtz United States
C.–D. Agardh Sweden
Angela Dardano Italy
Lawrence I. Rand United States
Per‐Eric Lins Sweden
David Matthews United Kingdom
Jesper Johannesen Denmark
Christine Darwin United States
D. Lang relative to Nuala Murphy Ireland Nuala Murphy's profile →
Citations per field
00.5×1.5×2.3×
Nuala Murphy · 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 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1979325
2 1994319
3 1981220
4 1983143
5 198296
6 198869
7 201556
8 201353
9 200351
10 198948
11 200047
12 198844
13 199243
14 199739
15 201336
16 198426
17 201625
18 198023
19 197320
20 199918

About D. Lang

D. Lang is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Molecular Biology, Pulmonary and Respiratory Medicine and Epidemiology, having authored 54 papers that have together received 2.0k indexed citations. Recurring topics across this work include Pharmacovigilance and Adverse Drug Reactions (7 papers), Cardiac Arrhythmias and Treatments (7 papers), Congenital Heart Disease Studies (7 papers), Diabetes Management and Research (6 papers), Pancreatic function and diabetes (6 papers), Healthcare Decision-Making and Restraints (4 papers), Cardiovascular Function and Risk Factors (4 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (809 citations), Genetics (523 citations), Surgery (827 citations), Endocrine and Autonomic Systems (104 citations) and Cardiology and Cardiovascular Medicine (302 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, Paul Zimmet, Lauren Grace Mackey, Matthew L. Cohen and U. Vetter. Their work appears in journals such as European Journal of Pediatrics, Ultrasound in Obstetrics and Gynecology, Diabetes, Pharmacopsychiatry 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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