Beryl E. Moffatt

712 citations
16 papers · 607 · h-index 7

Impact in

  • Immunology top 5%
    • Complement system in diseases
  • Hematology top 5%
    • Blood Coagulation and Thrombosis Mechanisms
    • Platelet Disorders and Treatments
    • Blood groups and transfusion

Papers in

    • Blood groups and transfusion 6
    • Blood Coagulation and Thrombosis Mechanisms 3
    • Glycosylation and Glycoproteins Research 3

Beryl E. Moffatt

14 papers receiving 591 citations

Peers

Beryl E. Moffatt
Comparison fields: 5 of 69
  • Immunology 404
  • Hematology 162
  • Genetics 74
  • Nephrology 32
  • Radiology, Nuclear Medicine and Imaging 66
Replace Katalin Szilágyi with:
Katalin Szilágyi Hungary
R.H. van den Berg Netherlands
Júlia Balczer Hungary
Andrea Kocsis Hungary
Robert R. Getty United States
K. Vehmeyer Germany
Renee C. Duncan Australia
SL Newman United States
Carlos A. Izaguirre Canada
A K Matsumoto United States
Beryl E. Moffatt relative to Katalin Szilágyi Hungary Katalin Szilágyi's profile →
Citations per field
00.5×1.5×
Katalin Szilágyi · 1×
Citations per year

Countries citing papers authored by Beryl E. Moffatt

Since Specialization
Citations

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

Fields of papers citing papers by Beryl E. Moffatt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2003182
2 2002149
3 198894
4 199388
5 199654
6 200912
7 198710
8 20085
9 20135
10 19713
11 19712
12 19721
13 20001
14 19711
15 20090
16 20090

About Beryl E. Moffatt

Beryl E. Moffatt is a scholar working on Hematology, Molecular Biology, Immunology, Radiology, Nuclear Medicine and Imaging and Physiology, having authored 16 papers that have together received 607 indexed citations. Recurring topics across this work include Blood groups and transfusion (6 papers), Complement system in diseases (5 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Glycosylation and Glycoproteins Research (3 papers), Erythrocyte Function and Pathophysiology (3 papers), Blood Coagulation and Thrombosis Mechanisms (3 papers), Folate and B Vitamins Research (2 papers) and Bone and Joint Diseases (2 papers). The work is most often cited by research in Immunology (404 citations), Hematology (162 citations), Genetics (74 citations), Nephrology (32 citations) and Radiology, Nuclear Medicine and Imaging (66 citations). Beryl E. Moffatt has collaborated with scholars based in United Kingdom, South Africa and Hungary. Frequent co-authors include Robert B. Sim, Raymond A. Dwek, Pauline M. Rudd, B. Paul Morgan, Anthony J. Day, Wilhelm Schwaeble, Marc Fontaine, Péter Gál, László Gráf and Mayumi Kojima. Their work appears in journals such as Vox Sanguinis, Biochemical Society Transactions, Acta Haematologica, The Journal of Immunology and The Journal of Experimental Medicine.

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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