P. Tippett

1.1k citations
32 papers · 815 indexed · h-index 12

Impact in

Papers in

P. Tippett

30 papers receiving 744 citations

Peers

P. Tippett
Comparison fields: 5 of 92
  • Clinical Biochemistry 143
  • Anesthesiology and Pain Medicine 112
  • Biochemistry 73
  • Hematology 73
  • Reproductive Medicine 49
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Citations per field
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Citations per year

Countries citing papers authored by P. Tippett

Since Specialization
Citations

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

Fields of papers citing papers by P. Tippett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 19951
2 19935
3 19928
4 199110
5 19910
6 199018
7 19895
8
Linkage relationships between X-linked retinitis pigmentosa and nine short-arm markers: exclusion of the disease locus from Xp21 and localization to between DXS7 and DXS14.
198738
9 19867
10
Use of enzymes in distinguishing anti-LWa and anti-LWab from anti-D.
19854
11 198511
12
Further characterisation of a human monoclonal antibody to the rhesus D antigen produced in vitro.
19841
13
Chromosomal mapping of the blood group genes.
19815
14 198123
15 197780
16 1975192
17 197519
18
The clinical and biochemical findings in three cases of hypersarcosinemia and one case of transient hypersarcosinuria associated with folic acid deficiency.
19745
19 19629
20
Blood group antigen Pk.
19621

About P. Tippett

P. Tippett is a scholar working on Hematology, Clinical Biochemistry, Anesthesiology and Pain Medicine, Physiology and Biochemistry, having authored 32 papers that have together received 815 indexed citations. Recurring topics across this work include Blood groups and transfusion (13 papers), Erythrocyte Function and Pathophysiology (9 papers), Metabolism and Genetic Disorders (4 papers), RNA regulation and disease (3 papers), Blood disorders and treatments (3 papers), Anesthesia and Sedative Agents (3 papers), Amino Acid Enzymes and Metabolism (2 papers) and Immunodeficiency and Autoimmune Disorders (2 papers). The work is most often cited by research in Clinical Biochemistry (143 citations), Anesthesiology and Pain Medicine (112 citations), Biochemistry (73 citations), Hematology (73 citations) and Reproductive Medicine (49 citations). P. Tippett has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include David M. Danks, Peter E. Campbell, L. M. H. Wing, John L. Reid, Erica Neill, D. S. Davies, C. T. Dollery, D. S. Davies, C. T. Dollery and E. A. M. Neill. Their work appears in journals such as Vox Sanguinis, Annals of Human Genetics, Human Genetics, The Journal of Pediatrics and Transfusion.

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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