Benjamin J. Lang

2.2k citations
63 papers · 1.7k · h-index 21

Impact in

    • Venous Thromboembolism Diagnosis and Management
    • Atrial Fibrillation Management and Outcomes
    • Cardiac Arrhythmias and Treatments
    • Antiplatelet Therapy and Cardiovascular Diseases
    • Acute Myocardial Infarction Research

Papers in

Benjamin J. Lang

61 papers receiving 1.6k citations

Peers

Benjamin J. Lang
Comparison fields: 5 of 114
  • Internal Medicine 311
  • Cardiology and Cardiovascular Medicine 512
  • Immunology 286
  • Aging 20
  • Molecular Biology 548
Replace Chandra C. Ghosh with:
Chandra C. Ghosh United States
Mirella Saliola Italy
Yohko Kawai Japan
Guey-Yueh Shi Taiwan
Takayuki Iwaki Japan
Erica Sparkenbaugh United States
Fernando de la Cuesta Spain
Koichi Kawano Japan
Hong Ma China
Eirik Bjørklid Norway
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Citations per field
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Chandra C. Ghosh · 1×
Citations per year

Countries citing papers authored by Benjamin J. Lang

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin J. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015268
2 2015206
3 2021112
4 201971
5 202069
6 201668
7 202164
8 201463
9 201362
10 201654
11 202050
12 201636
13 201635
14 202131
15 201830
16 201928
17 201725
18 202223
19 201223
20 202023

About Benjamin J. Lang

Benjamin J. Lang is a scholar working on Immunology, Molecular Biology, Cell Biology, Hepatology and Statistics and Probability, having authored 63 papers that have together received 1.7k indexed citations. Recurring topics across this work include Heat shock proteins research (21 papers), Endoplasmic Reticulum Stress and Disease (8 papers), Biosimilars and Bioanalytical Methods (5 papers), Atrial Fibrillation Management and Outcomes (5 papers), Hepatitis C virus research (5 papers), RNA Research and Splicing (4 papers), Statistical Methods in Clinical Trials (4 papers) and thermodynamics and calorimetric analyses (4 papers). The work is most often cited by research in Internal Medicine (311 citations), Cardiology and Cardiovascular Medicine (512 citations), Immunology (286 citations), Aging (20 citations) and Molecular Biology (548 citations). Benjamin J. Lang has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Stuart K. Calderwood, Viktoria Moschetti, Stephan Glund, Paul A. Reilly, Stephen H. Norris, Joachim Stangier, Michael Schmohl, Thomas L. Prince, Joanne van Ryn and Steven Ramael. Their work appears in journals such as Cell Stress and Chaperones, Frontiers in Immunology, British Journal of Clinical Pharmacology, Cells and Expert Opinion on Investigational Drugs.

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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