P. J. Lincoln

1.9k citations
32 papers · 521 indexed · h-index 13
Topics
Blood groups and transfusion (15 papers)Forensic and Genetic Research (8 papers)Molecular Biology Techniques and Applications (4 papers)

In The Last Decade

P. J. Lincoln

31 papers receiving 470 citations

Peers

P. J. Lincoln
Comparison fields: 5 of 76
  • Genetics 284
  • Molecular Biology 223
  • Hematology 151
  • Physiology 83
  • Epidemiology 47
Replace Barbara E. Dodd with:
Barbara E. Dodd United Kingdom
I Bianco Italy
B.N. Mukherjee India
Marino Celano United States
C Doînel France
Lester J. Unger United States
T. E. Cleghorn United Kingdom
J Danilovs United States
L. C. Bailey United Kingdom
Jane E. Morgan United States
P. J. Lincoln relative to Barbara E. Dodd United Kingdom Barbara E. Dodd's profile →
Citations per field
00.5×10×
Barbara E. Dodd · 1×
Citations per year

Countries citing papers authored by P. J. Lincoln

Since Specialization
Citations

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

Fields of papers citing papers by P. J. Lincoln

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P. J. Lincoln. 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 P. J. Lincoln. The network helps show where P. J. Lincoln may publish in the future.

Co-authorship network of co-authors of P. J. Lincoln

This figure shows the co-authorship network connecting the top 25 collaborators of P. J. Lincoln. A scholar is included among the top collaborators of P. J. Lincoln based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with P. J. Lincoln. P. J. Lincoln is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 73
2 15
3 13
4 60
5 20
6
Alloantigens on Plasma Proteins POLYMORPHISMS OF IMMUNOGLOBULINS: Gm, Am and Km TYPING
1
7 10
8 3
9 6
10 2
11 7
12 7
13 18
14 11
15 73
16 23
17
Antigen-antibody studies in the ABO blood group system with particular reference to cross-reacting antibodies in group O sera.
7
18 11
19 1
20 4

About P. J. Lincoln

P. J. Lincoln is a scholar working on Hematology, Genetics and Radiology, Nuclear Medicine and Imaging, having authored 32 papers that have together received 521 indexed citations. Recurring topics across this work include Blood groups and transfusion (15 papers), Forensic and Genetic Research (8 papers) and Molecular Biology Techniques and Applications (4 papers). The work is most often cited by research in Hematology (151 citations), Genetics (284 citations) and Molecular Biology (223 citations). P. J. Lincoln has collaborated with scholars based in United Kingdom, Spain and Denmark. Frequent co-authors include Barbara E. Dodd, Brigitte Gardner, N. C. Hughes‐Jones, Ángel Carracedo, Denise Syndercombe Court, J. A. Thomson, Christopher Phillips, S. Rand, B. Brinkmann and M.V. Lareu. Their work appears in journals such as Transplantation, British Journal of Haematology and Journal of Clinical Pathology.

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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