M. M. Pickles

827 citations
14 papers · 421 indexed · h-index 11

Impact in

  • Hematology top 5%
    • Blood groups and transfusion
    • T-cell and B-cell Immunology
    • Immune Cell Function and Interaction

Papers in

    • Blood groups and transfusion 10
    • Erythrocyte Function and Pathophysiology 7

M. M. Pickles

14 papers receiving 369 citations

Peers

M. M. Pickles
Comparison fields: 5 of 57
  • Hematology 224
  • Immunology 116
  • Physiology 131
  • Biochemistry 25
  • Genetics 38
Replace P. K. Phillips with:
P. K. Phillips United Kingdom
H Seyfried Poland
Lisbeth Messeter Sweden
A Gerbal France
C. A. Tilley Canada
Ben G. Fishkin United States
P. H. Renton Nigeria
T. Seno Japan
Frances A. Pitlick United States
G. D. Johnson United States
M. M. Pickles relative to P. K. Phillips United Kingdom P. K. Phillips's profile →
Citations per field
00.5×10×
P. K. Phillips · 1×
Citations per year

Countries citing papers authored by M. M. Pickles

Since Specialization
Citations

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

Fields of papers citing papers by M. M. Pickles

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 18 scholars most cited alongside M. M. Pickles, 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 M. M. Pickles Line = papers co-authored together M. M. Pickles links everyone, so they are left out of the graph.

All Works

14 of 14 papers shown
#Work
1 198828
2 19805
3 197810
4 197714
5 19725
6 197138
7 197062
8 196953
9 196716
10 196754
11 196720
12 195639
13 195315
14 195162

About M. M. Pickles

M. M. Pickles is a scholar working on Hematology, Physiology, Immunology, Immunology and Allergy and Infectious Diseases, having authored 14 papers that have together received 421 indexed citations. Recurring topics across this work include Blood groups and transfusion (10 papers), Erythrocyte Function and Pathophysiology (7 papers), Glycosylation and Glycoproteins Research (2 papers), Complement system in diseases (2 papers), Cytomegalovirus and herpesvirus research (2 papers), Healthcare Policy and Management (1 paper), Blood properties and coagulation (1 paper) and Herpesvirus Infections and Treatments (1 paper). The work is most often cited by research in Hematology (224 citations), Immunology (116 citations), Physiology (131 citations), Biochemistry (25 citations) and Genetics (38 citations). M. M. Pickles has collaborated with scholars based in United Kingdom, United States and Netherlands. Frequent co-authors include J. A. Morton, L. Sutton, Alexandra M. Terry, Karen E. White, Flemming Skov, R I Vanhegan, J. H. Darley, P. R. Cullen, Robert A. Benson and Jean Noades. Their work appears in journals such as Vox Sanguinis, British Journal of Haematology, Journal of Clinical Pathology, The Journal of Immunology and Immunological Investigations.

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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