P. Mathern

530 citations
17 papers · 437 · h-index 10

Impact in

Papers in

    • RNA Research and Splicing 4
    • Protein Kinase Regulation and GTPase Signaling 4
    • Kruppel-like factors research 3
    • Genomics and Chromatin Dynamics 3
    • Metabolism, Diabetes, and Cancer 2
    • Biochemical and Molecular Research 2

P. Mathern

17 papers receiving 428 citations

Peers

P. Mathern
Comparison fields: 5 of 71
  • Behavioral Neuroscience 145
  • Biological Psychiatry 29
  • Endocrinology, Diabetes and Metabolism 116
  • Critical Care and Intensive Care Medicine 21
  • Genetics 102
Replace P. Lohrer with:
P. Lohrer Germany
Binhai Cong China
Partha Sinha United States
M. Rochel Germany
T. Quach United States
Eileen I. Chang United States
Theodosios Kyriakou United Kingdom
Eduardo Ortí United States
Alexandru Tatomir United States
Laurent Pascual-Le Tallec France
P. Mathern relative to P. Lohrer Germany P. Lohrer's profile →
Citations per field
00.5×3.6×
P. Lohrer · 1×
Citations per year

Countries citing papers authored by P. Mathern

Since Specialization
Citations

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

Fields of papers citing papers by P. Mathern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1993177
2 199368
3 199333
4 199324
5
Increased pressor response to noradrenaline during septic shock following clonidine?
201023
6 199320
7 199318
8 199314
9 199312
10 199410
11 19958
12 19967
13 19947
14 19936
15 19934
16 19943
17 19953

About P. Mathern

P. Mathern is a scholar working on Molecular Biology, Cell Biology, Genetics, Endocrinology, Diabetes and Metabolism and Immunology and Allergy, having authored 17 papers that have together received 437 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Protein Kinase Regulation and GTPase Signaling (4 papers), Kruppel-like factors research (3 papers), Genomics and Chromatin Dynamics (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Cell Adhesion Molecules Research (2 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Behavioral Neuroscience (145 citations), Biological Psychiatry (29 citations), Endocrinology, Diabetes and Metabolism (116 citations), Critical Care and Intensive Care Medicine (21 citations) and Genetics (102 citations). P. Mathern has collaborated with scholars based in United States, Belgium and Pakistan. Frequent co-authors include Elaine F. Remmers, Leslie J. Crofford, R L Wilder, Ellen Goldmuntz, Hideto Sano, George P. Chrousos, Katia Karalis, Howard R. Epps, Theodore C. Friedman and Hongbin Zha. Their work appears in journals such as Mammalian Genome, Cytogenetic and Genome Research, Genomics, The Journal of Immunology and Journal of Clinical Investigation.

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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