Helen E. McGrath

1.5k citations
33 papers · 1.2k indexed · h-index 19

Impact in

  • Hematology top 5%
    • Hematopoietic Stem Cell Transplantation
    • Platelet Disorders and Treatments
  • Genetics top 10%

Papers in

    • Hematopoietic Stem Cell Transplantation 4
    • Renal function and acid-base balance 3

Helen E. McGrath

33 papers receiving 1.2k citations

Peers

Helen E. McGrath
Comparison fields: 5 of 96
  • Hematology 262
  • Genetics 131
  • Nephrology 78
  • Oncology 292
  • Endocrinology, Diabetes and Metabolism 146
Replace Ningzheng Dong with:
Ningzheng Dong China
Pilar Pizcueta Spain
Alicia J. Allred United States
Jan Willem N. Akkerman Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Helen E. McGrath

Since Specialization
Citations

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

Fields of papers citing papers by Helen E. McGrath

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen E. McGrath. 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 Helen E. McGrath. The network helps show where Helen E. McGrath may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201813
2 20171
3 201518
4 201429
5 201318
6 201211
7 201222
8 201280
9 201038
10 2006221
11 2006110
12 20043
13 200315
14 199743
15 199211
16 199211
17 199110
18 197623
19 195424
20 195327

About Helen E. McGrath

Helen E. McGrath is a scholar working on Hematology, Nephrology, Endocrinology, Diabetes and Metabolism, Genetics and Small Animals, having authored 33 papers that have together received 1.2k indexed citations. Recurring topics across this work include Ion Transport and Channel Regulation (5 papers), Hematopoietic Stem Cell Transplantation (4 papers), Hormonal Regulation and Hypertension (4 papers), Renin-Angiotensin System Studies (4 papers), Sodium Intake and Health (3 papers), Glycosylation and Glycoproteins Research (3 papers), Renal function and acid-base balance (3 papers) and Blood Pressure and Hypertension Studies (3 papers). The work is most often cited by research in Hematology (262 citations), Genetics (131 citations), Nephrology (78 citations), Oncology (292 citations) and Endocrinology, Diabetes and Metabolism (146 citations). Helen E. McGrath has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include P. J. Quesenberry, John J Gildea, Robin A. Felder, Robert M. Carey, Ian McNiece, RB Crittenden, PJ Quesenberry, Mary F. Cooper, Sam Shuster and Jeff White. Their work appears in journals such as Hypertension, Journal of Clinical Investigation, British Journal of Dermatology, Journal of Clinical Oncology 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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