D. Richard Lachno

3.0k citations
41 papers · 1.7k indexed · 1 hit paper · h-index 21

D. Richard Lachno

41 papers receiving 1.7k citations

Hit Papers

Common polymorphisms of CYP2C19 and CYP2C9 affect the pha...5532007202620132019100200300400500

Peers

D. Richard Lachno
Comparison fields: 5 of 111
  • Internal Medicine 144
  • Cardiology and Cardiovascular Medicine 749
  • Physiology 96
  • Pharmacology 223
  • Endocrinology, Diabetes and Metabolism 194
Replace Tomohiro Osanai with:
Tomohiro Osanai Japan
Kirsten Leineweber Germany
Tsunehiko Kuzuya Japan
W B Campbell United States
Katsuaki Ito Japan
Oleg V. Evgenov United States
Fei Cai China
Yongjun Cao China
Dirk von Lewinski Austria
Alan H. Stephenson United States
D. Richard Lachno relative to Tomohiro Osanai Japan Tomohiro Osanai's profile →
Citations per field
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Citations per year

Countries citing papers authored by D. Richard Lachno

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

All Works

20 of 20 papers shown
#Work
1 201854
2 20151
3 201313
4 201328
5 201213
6 20112
7 201039
8 200924
9 200955
10
Common polymorphisms of CYP2C19 and CYP2C9 affect the pharmacokinetic and pharmacodynamic response to clopidogrel but not prasugrelbreakdown →
2007553
11 19972
12 199431
13 199330
14 199230
15 19911
16 19912
17 1990285
18 19904
19 198815
20 198656

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), Myeloproliferative Neoplasms: Diagnosis and Treatment (4 papers), Amyloidosis: Diagnosis, Treatment, Outcomes (4 papers), Plant Stress Responses and Tolerance (4 papers), Dementia and Cognitive Impairment Research (4 papers), Inflammatory mediators and NSAID effects (4 papers) and Hemoglobinopathies and Related Disorders (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.

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