P E Mullis

540 citations
10 papers · 423 · h-index 8

Impact in

    • Growth Hormone and Insulin-like Growth Factors
    • Adrenal Hormones and Disorders
    • Pituitary Gland Disorders and Treatments
    • Immunodeficiency and Autoimmune Disorders
    • T-cell and B-cell Immunology

Papers in

P E Mullis

10 papers receiving 372 citations

Peers

P E Mullis
Comparison fields: 5 of 47
  • Endocrinology, Diabetes and Metabolism 158
  • Immunology 68
  • Molecular Biology 147
  • Genetics 30
  • Developmental Biology 2
Replace Sabah Alvi with:
Sabah Alvi United Kingdom
Janet R Barrett United States
Christine M. Lindell United States
Nigel P. Groome United Kingdom
H. Pusch Austria
Stephen Power Canada
Matthew Rees United Kingdom
Lily Talakoub United States
Alexander Maret United States
C Brémont France
P E Mullis relative to Sabah Alvi United Kingdom Sabah Alvi's profile →
Citations per field
00.5×2×3.2×
Sabah Alvi · 1×
Citations per year

Countries citing papers authored by P E Mullis

Since Specialization
Citations

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

Fields of papers citing papers by P E Mullis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 2011129
2
Genetic homogeneity of autoimmune polyglandular disease type I.
199698
3 199245
4 199039
5 199038
6 199136
7 199119
8 201512
9
[Metabolic control in children and adolescents with diabetes mellitus type I in Berne: a cross-sectional study].
19995
10
RFLPs for Duchenne muscular dystrophy cDNA clones 9 and 10.
19902

About P E Mullis

P E Mullis is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology, Immunology, Nuclear Energy and Engineering and Waste Management and Disposal, having authored 10 papers that have together received 423 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (5 papers), Sexual Differentiation and Disorders (2 papers), Diabetes Management and Research (1 paper), Muscle Physiology and Disorders (1 paper), Immunodeficiency and Autoimmune Disorders (1 paper) and Adrenal Hormones and Disorders (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (158 citations), Immunology (68 citations), Molecular Biology (147 citations), Genetics (30 citations) and Developmental Biology (2 citations). P E Mullis has collaborated with scholars based in Switzerland, United Kingdom and Germany. Frequent co-authors include C G D Brook, Peter C. Hindmarsh, Paul M. Brickell, Andrée Eblé, Ayşehan Akıncı, Petra Björses, Colin S. Smith, Joël Zlotogora, Martin E. Ritzen and Giuseppe Chiumello. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, Pediatric Research, Clinical Endocrinology, PLoS ONE and European Journal of Pediatrics.

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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