D. Richard Lachno
- Cardiology and Cardiovascular Medicine top 2%
- Surgery top 10%
- Molecular Biology
- Physiology top 10%
- Pharmacology top 5%
- Co-authors
- Christopher D. PayneKenneth J. WintersM YacoubRyszard T. SmoleńskiS.J.M. LedinghamDaniel E. SalazarJohn T. BrandtC. Steven Ernest
- Topics
- Alzheimer's disease research and treatments (9 papers)Antiplatelet Therapy and Cardiovascular Diseases (5 papers)Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers)
- Partner nations
- United KingdomUnited StatesBelgium
In The Last Decade
D. Richard Lachno
41 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 111
- Cardiology and Cardiovascular Medicine 749
- Surgery 425
- Molecular Biology 285
- Physiology 250
- Pharmacology 223
Countries citing papers authored by D. Richard Lachno
This map shows the geographic impact of D. Richard Lachno'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. Richard Lachno with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Richard Lachno more than expected).
Fields of papers citing papers by D. Richard Lachno
This network shows the impact of papers produced by D. Richard Lachno. 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. Richard Lachno. The network helps show where D. Richard Lachno may publish in the future.
Co-authorship network of co-authors of D. Richard Lachno
This figure shows the co-authorship network connecting the top 25 collaborators of D. Richard Lachno. A scholar is included among the top collaborators of D. Richard Lachno based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. Richard Lachno. D. Richard Lachno is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 54 | |
| 2 | 1 | |
| 3 | 13 | |
| 4 | 28 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 39 | |
| 8 | 24 | |
| 9 | 55 | |
| 10 | Common polymorphisms of CYP2C19 and CYP2C9 affect the pharmacokinetic and pharmacodynamic response to clopidogrel but not prasugrelbreakdown → | 553 |
| 11 | 2 | |
| 12 | 31 | |
| 13 | 30 | |
| 14 | 30 | |
| 15 | 1 | |
| 16 | 2 | |
| 17 | 285 | |
| 18 | 4 | |
| 19 | 15 | |
| 20 | 56 |
About D. Richard Lachno
D. Richard Lachno is a scholar working on Pharmacology, Psychiatry and Mental health and Physiology, having authored 41 papers that have together received 1.7k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (9 papers), Antiplatelet Therapy and Cardiovascular Diseases (5 papers) and Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers). The work is most often cited by research in Internal Medicine (144 citations), Cardiology and Cardiovascular Medicine (749 citations) and Physiology (96 citations). D. Richard Lachno has collaborated with scholars based in United Kingdom, United States and Belgium. Frequent co-authors include Christopher D. Payne, Kenneth J. Winters, M Yacoub, Ryszard T. Smoleński, S.J.M. Ledingham, Daniel E. Salazar, John T. Brandt, C. Steven Ernest, Nazar Farid and Stephen J. Iturria. Their work appears in journals such as Circulation, Blood and Journal of the American College of Cardiology.
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.