P Lohse

2.1k citations
57 papers · 1.4k indexed · h-index 27

Impact in

Papers in

P Lohse

56 papers receiving 1.4k citations

Peers

P Lohse
Comparison fields: 5 of 78
  • Endocrinology, Diabetes and Metabolism 295
  • Hematology 156
  • Immunology 270
  • Surgery 450
  • Cancer Research 147
Replace G. Aßmann with:
G. Aßmann Germany
Holly A. Bina United States
Shuichi Nozaki Japan
D Schönitzer Austria
J Ryan United States
SJ Lauer United States
Maaike Kockx Australia
Jianping Zhang China
Zdeňka Vernerová Czechia
James L. Young United States
P Lohse relative to G. Aßmann Germany G. Aßmann's profile →
Citations per field
00.5×1.5×1.8×
G. Aßmann · 1×
Citations per year

Countries citing papers authored by P Lohse

Since Specialization
Citations

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

Fields of papers citing papers by P Lohse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 201314
2 201219
3 20112
4 20117
5 20100
6 201013
7 201032
8 200963
9 200934
10 200819
11 200838
12 200824
13 200731
14 200633
15 2005114
16 20043
17 200425
18
Sixteen rare sequence variants of the hMLH1 and hMSH2 genes found in a cohort of 254 suspected HNPCC (hereditary non-polyposis colorectal cancer) patients: mutations or polymorphisms?
200122
19 199332
20 198947

About P Lohse

P Lohse is a scholar working on Immunology, Hematology, Endocrinology, Diabetes and Metabolism, Molecular Biology and Genetics, having authored 57 papers that have together received 1.4k indexed citations. Recurring topics across this work include Inflammasome and immune disorders (14 papers), Inflammatory Bowel Disease (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Lipoproteins and Cardiovascular Health (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers), IL-33, ST2, and ILC Pathways (5 papers), Immune Response and Inflammation (5 papers) and Lysosomal Storage Disorders Research (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (295 citations), Hematology (156 citations), Immunology (270 citations), Surgery (450 citations) and Cancer Research (147 citations). P Lohse has collaborated with scholars based in Germany, United States and France. Frequent co-authors include H. Bryan Brewer, D J Rader, M. R. Kindt, D. Seidel, Hans-Henning Arnold, S Stojanov, Thomas Ochsenkühn, H Bryan Brewer, Stephan Brand and Christian Timmann. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Journal of Clinical Investigation, Neurology and Alimentary Pharmacology & Therapeutics.

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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