LM Snyder

613 citations
17 papers · 523 · h-index 12

Impact in

  • Genetics top 5%
    • Hemoglobinopathies and Related Disorders
  • Physiology top 5%
    • Erythrocyte Function and Pathophysiology

Papers in

    • Erythrocyte Function and Pathophysiology 16
    • Hemoglobinopathies and Related Disorders 7

LM Snyder

17 papers receiving 484 citations

Peers

LM Snyder
Comparison fields: 5 of 63
  • Genetics 170
  • Physiology 346
  • Hematology 129
  • Cell Biology 87
  • Pediatrics, Perinatology and Child Health 87
Replace Diamantis G. Konstantinidis with:
Diamantis G. Konstantinidis United States
V Brabec Czechia
P. L. La Celle United States
Prabhakar Kedar India
Airie Kim United States
Imo J. Akpan United States
R. M. Vigneulle United States
Noémi Roy United Kingdom
K Buluk Poland
Atsushi Manabe Japan
LM Snyder relative to Diamantis G. Konstantinidis United States Diamantis G. Konstantinidis's profile →
Citations per field
00.5×1.5×1.9×
Diamantis G. Konstantinidis · 1×
Citations per year

Countries citing papers authored by LM Snyder

Since Specialization
Citations

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

Fields of papers citing papers by LM Snyder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 20 scholars most cited alongside LM Snyder, 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 LM Snyder Line = papers co-authored together LM Snyder links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 1993121
2 198870
3 197849
4 197744
5 198042
6 197840
7 199030
8 197829
9 199625
10 199524
11 199017
12 198815
13 19886
14 19964
15 19783
16 19802
17 19932

About LM Snyder

LM Snyder is a scholar working on Physiology, Genetics, Pulmonary and Respiratory Medicine, Molecular Biology and Pediatrics, Perinatology and Child Health, having authored 17 papers that have together received 523 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (16 papers), Hemoglobinopathies and Related Disorders (7 papers), Blood properties and coagulation (5 papers), Neonatal Health and Biochemistry (4 papers), Blood groups and transfusion (4 papers), Hemoglobin structure and function (3 papers), Connexins and lens biology (2 papers) and Pancreatic function and diabetes (2 papers). The work is most often cited by research in Genetics (170 citations), Physiology (346 citations), Hematology (129 citations), Cell Biology (87 citations) and Pediatrics, Perinatology and Child Health (87 citations). LM Snyder has collaborated with scholars based in United States, Italy and Poland. Frequent co-authors include J Palek, SC Liu, James McKenney, Normand L. Fortier, Jie Yuan, Emanuele Angelucci, Giuseppe Lucarelli, L. Ma, Narla Mohandas and SL Schrier. Their work appears in journals such as Blood and Journal of Biological Chemistry.

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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