S Lachance

18 papers receiving 362 citations

Peers

S Lachance
Comparison fields: 5 of 73
  • Cardiology and Cardiovascular Medicine 92
  • Endocrinology, Diabetes and Metabolism 65
  • Immunology 55
  • Biochemistry 19
  • Physiology 61
Replace Cheng-Po Sung with:
Cheng-Po Sung United States
Vladimir S. Shavva Russia
Mariska Davids Netherlands
Tomoko Kanome Japan
Young-Sil Yoon South Korea
Ji Hua China
C Boullet France
Jun-shan Liang United States
Eva Denise Martin United Kingdom
Juan Carlos Monge Canada
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Citations per year

Countries citing papers authored by S Lachance

Since Specialization
Citations

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

Fields of papers citing papers by S Lachance

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S Lachance. 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 S Lachance. The network helps show where S Lachance may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 199653
2 199741
3 200437
4 198129
5 201625
6 199025
7 199723
8 199219
9 199417
10 199217
11 199615
12 201414
13 199514
14 199310
15 19958
16 19968
17 19957
18
Turnover of free and conjugated serum catecholamines during hemodialysis.
19837
19
Donor lymphocytes depleted of alloreactive T-cells (ATIR101) improve overall survival and reduce transplant related mortality in a T-cell depleted haploidentical HSCT: Results from a Phase 2 trial in patients with AML and ALL
20160

About S Lachance

S Lachance is a scholar working on Molecular Biology, Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism, Immunology and Genetics, having authored 19 papers that have together received 369 indexed citations. Recurring topics across this work include Renin-Angiotensin System Studies (6 papers), Receptor Mechanisms and Signaling (5 papers), Hormonal Regulation and Hypertension (5 papers), Renal and related cancers (3 papers), Nitric Oxide and Endothelin Effects (2 papers), Nuclear Receptors and Signaling (2 papers), Immune Cell Function and Interaction (2 papers) and Estrogen and related hormone effects (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (92 citations), Endocrinology, Diabetes and Metabolism (65 citations), Immunology (55 citations), Biochemistry (19 citations) and Physiology (61 citations). S Lachance has collaborated with scholars based in Canada, United States and India. Frequent co-authors include John S.D. Chan, S Carrière, Claude Perreault, Aline Delalandre, Chantal Baron, Chantale Lapierre, János G. Filep, Elliot Drobetsky, Moulay A. Alaoui‐Jamali and Géraldine Mathonnet. Their work appears in journals such as Journal of the American Society of Nephrology, Kidney International, American Journal of Physiology-Regulatory, Integrative and Comparative Physiology, Bone Marrow Transplantation and Pediatric Nephrology.

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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