Jean Noades

758 citations
30 papers · 589 · h-index 14

Impact in

  • Hematology top 2%
    • Blood groups and transfusion
  • Physiology top 10%
    • Erythrocyte Function and Pathophysiology

Papers in

Jean Noades

28 papers receiving 513 citations

Peers

Jean Noades
Comparison fields: 5 of 68
  • Hematology 329
  • Physiology 231
  • Genetics 77
  • Genetics 178
  • Immunology 89
Replace Anna Pirkola with:
Anna Pirkola Finland
T. Seno Japan
DJ Anstee United Kingdom
TA Rado United States
Michiyo Hatanaka Japan
J.M.C. Wessels Netherlands
Arthur F. Goldberg United States
Bismarck B. Lozzio United States
K Német Hungary
LA Wilcox United States
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Citations per field
00.5×3.3×
Anna Pirkola · 1×
Citations per year

Countries citing papers authored by Jean Noades

Since Specialization
Citations

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

Fields of papers citing papers by Jean Noades

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 196078
2 196077
3
Autosomal linkage between the Gm and Pi loci in man.
197254
4
A new antigen and antibody belonging to the P blood group system.
195952
5 195945
6 196731
7 198829
8 196028
9 196525
10 197719
11 197219
12 197318
13 196716
14 196616
15 197511
16 195911
17 198810
18 19679
19 19609
20 19648

About Jean Noades

Jean Noades is a scholar working on Hematology, Molecular Biology, Physiology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 30 papers that have together received 589 indexed citations. Recurring topics across this work include Blood groups and transfusion (19 papers), Erythrocyte Function and Pathophysiology (13 papers), Glycosylation and Glycoproteins Research (7 papers), Diabetes and associated disorders (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Hepatitis B Virus Studies (2 papers), Microbial infections and disease research (2 papers) and Blood disorders and treatments (2 papers). The work is most often cited by research in Hematology (329 citations), Physiology (231 citations), Genetics (77 citations), Genetics (178 citations) and Immunology (89 citations). Jean Noades has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include R. R. Race, Ruth Sanger, Patricia Tippett, Jane L. Swanson, June Gavin, James A. Jack, Tobias Gedde‐Dahl, Magne K. Fagerhol, W. L. Marsh and W. J. Jenkins. Their work appears in journals such as Vox Sanguinis, Annals of Human Genetics, Nature, Journal of Medical Genetics and Sub-cellular biochemistry.

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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