James E. Lang

621 citations
12 papers · 528 · h-index 11

Impact in

Papers in

James E. Lang

12 papers receiving 486 citations

Peers

James E. Lang
Comparison fields: 5 of 58
  • Rheumatology 131
  • Endocrinology, Diabetes and Metabolism 142
  • Hematology 46
  • Endocrine and Autonomic Systems 25
  • Reproductive Medicine 31
Replace Miran Šebeštjen with:
Miran Šebeštjen Slovenia
Matthew Davies Australia
Osman Köstek Türkiye
Abel López‐Bermejo Spain
Adriana Cimponeriu Greece
U.-M. Mäkilä Finland
Mio Nakazato Japan
Lena Norlund Sweden
Jenie Yoonoo Hwang South Korea
Chia‐Chang Hsu Taiwan
James E. Lang relative to Miran Šebeštjen Slovenia Miran Šebeštjen's profile →
Citations per field
00.5×4.2×
Miran Šebeštjen · 1×
Citations per year

Countries citing papers authored by James E. Lang

Since Specialization
Citations

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

Fields of papers citing papers by James E. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 14 scholars most cited alongside James E. 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 James E. Lang Line = papers co-authored together James E. Lang links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 2001151
2 1995140
3 199248
4 199948
5 199930
6 199128
7 198622
8 199916
9 200114
10 199613
11 200211
12
Lack of concordance in classification of coronary heart disease risk: high-risk HDL cholesterol less than 35 mg/dl in subjects with desirable total serum cholesterol, less than 200 mg/dl.
19907

About James E. Lang

James E. Lang is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Genetics and Rheumatology, having authored 12 papers that have together received 528 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (4 papers), Estrogen and related hormone effects (3 papers), Menopause: Health Impacts and Treatments (2 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers), Folate and B Vitamins Research (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Health Systems, Economic Evaluations, Quality of Life (1 paper). The work is most often cited by research in Rheumatology (131 citations), Endocrinology, Diabetes and Metabolism (142 citations), Hematology (46 citations), Endocrine and Autonomic Systems (25 citations) and Reproductive Medicine (31 citations). James E. Lang has collaborated with scholars based in United States and Germany. Frequent co-authors include Charles J. Glueck, Trent Tracy, Luann Sieve-Smith, Robert N. Fontaine, Peter J. Shaw, Ying Wang, James Speirs, Ping Wang, Patricia Streicher and M.T.R. Subbiah. Their work appears in journals such as The American Journal of Cardiology, Metabolism, Clinica Chimica Acta, Journal of neurosurgery and PubMed.

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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