Todd Minga

670 citations
9 papers · 38 · h-index 4

Impact in

    • Erythropoietin and Anemia Treatment
    • Iron Metabolism and Disorders
    • Blood transfusion and management

Papers in

    • Erythropoietin and Anemia Treatment 6
    • Iron Metabolism and Disorders 1
    • Hemoglobinopathies and Related Disorders 2

Todd Minga

7 papers receiving 37 citations

Peers

Todd Minga
Comparison fields: 5 of 15
  • Hematology 25
  • Biochemistry 10
  • Nephrology 8
  • Cancer Research 9
  • Genetics 4
Replace Marie Docherty with:
Marie Docherty United Kingdom
Sarah Vidito United States
Sabine Kluge Germany
Donatella Vincelli Italy
Reyes Sancho-Tello Spain
Hiraku Ogata Japan
Sölvi Rögnvaldsson Iceland
Michael Nestor United States
Qiyan Li China
Jayant Kumar United States
Todd Minga relative to Marie Docherty United Kingdom Marie Docherty's profile →
Citations per field
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Marie Docherty · 1×
Citations per year

Countries citing papers authored by Todd Minga

Since Specialization
Citations

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

Fields of papers citing papers by Todd Minga

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 202216
2 20239
3 20236
4 20243
5 20252
6 20241
7 20241
8 20250
9 20220

About Todd Minga

Todd Minga is a scholar working on Hematology, Genetics, Organic Chemistry, Rheumatology and Physiology, having authored 9 papers that have together received 38 indexed citations. Recurring topics across this work include Erythropoietin and Anemia Treatment (6 papers), Hemoglobinopathies and Related Disorders (2 papers), Health Systems, Economic Evaluations, Quality of Life (1 paper), Pharmaceutical Economics and Policy (1 paper), Glycogen Storage Diseases and Myoclonus (1 paper), Iron Metabolism and Disorders (1 paper), Lysosomal Storage Disorders Research (1 paper) and Carbohydrate Chemistry and Synthesis (1 paper). The work is most often cited by research in Hematology (25 citations), Biochemistry (10 citations), Nephrology (8 citations), Cancer Research (9 citations) and Genetics (4 citations). Todd Minga has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Kai‐Uwe Eckardt, Wei Luo, Glenn M. Chertow, Patrick S. Parfrey, Wolfgang C. Winkelmayer­, Steven K. Burke, Eldrin F. Lewis, James A. Tumlin, Mark J. Koury and Susan Arnold. Their work appears in journals such as Kidney Medicine, Nephrology Dialysis Transplantation, Journal of the American Society of Nephrology, American Journal of Hematology and Clinical Pharmacology & Therapeutics.

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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