P. Tuchschmid

865 citations
32 papers · 596 · h-index 13

Impact in

    • Metabolism and Genetic Disorders
    • Immunodeficiency and Autoimmune Disorders
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms

Papers in

P. Tuchschmid

30 papers receiving 575 citations

Peers

P. Tuchschmid
Comparison fields: 5 of 70
  • Clinical Biochemistry 51
  • Immunology 145
  • Physiology 25
  • Infectious Diseases 69
  • Epidemiology 119
Replace K. Hugh‐Jones with:
K. Hugh‐Jones United Kingdom
Gareth Jevon Canada
John F. Flanagan United States
Lothar C. Fuith Austria
Giampiero Piccinini Italy
Indira Sahdev United States
Jennifer Allsop United Kingdom
H Yabuuchi Japan
Helmut Küster Germany
Tooru Kudoh Japan
P. Tuchschmid relative to K. Hugh‐Jones United Kingdom K. Hugh‐Jones's profile →
Citations per field
00.5×4.3×
K. Hugh‐Jones · 1×
Citations per year

Countries citing papers authored by P. Tuchschmid

Since Specialization
Citations

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

Fields of papers citing papers by P. Tuchschmid

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998113
2 199791
3 199364
4 199840
5 199634
6 197832
7 199426
8 197325
9 199624
10 198424
11 199519
12 199815
13
Phenotypic heterogeneity in the Noonan syndrome.
197914
14 198111
15 198310
16 19899
17 19989
18 19968
19 19995
20 19984

About P. Tuchschmid

P. Tuchschmid is a scholar working on Pediatrics, Perinatology and Child Health, Immunology, Molecular Biology, Pulmonary and Respiratory Medicine and Cell Biology, having authored 32 papers that have together received 596 indexed citations. Recurring topics across this work include Immunodeficiency and Autoimmune Disorders (6 papers), Neonatal and fetal brain pathology (5 papers), Hemoglobin structure and function (5 papers), Neonatal Respiratory Health Research (5 papers), Hemoglobinopathies and Related Disorders (4 papers), Metabolism and Genetic Disorders (3 papers), Cytomegalovirus and herpesvirus research (3 papers) and Blood disorders and treatments (3 papers). The work is most often cited by research in Clinical Biochemistry (51 citations), Immunology (145 citations), Physiology (25 citations), Infectious Diseases (69 citations) and Epidemiology (119 citations). P. Tuchschmid has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Reinhard Seger, Andrea Superti‐Furga, Rosmarie Caduff, N. E. A. Crompton, Mahmut Özsahin, Roger Lauener, Hans C. Steinert, David Nadal, Ulrich Willi and Kenneth J. Wilson. Their work appears in journals such as European Journal of Pediatrics, Pediatric Research, Blood, Human Genetics and Free Radical Biology and Medicine.

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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