P. Mathern

532 citations
17 papers · 390 · h-index 9

Impact in

Papers in

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

P. Mathern

13 papers receiving 381 citations

Peers

P. Mathern
Comparison fields: 5 of 71
  • Behavioral Neuroscience 141
  • Biological Psychiatry 29
  • Endocrinology, Diabetes and Metabolism 103
  • Critical Care and Intensive Care Medicine 15
  • Genetics 66
Replace Partha Sinha with:
Partha Sinha United States
Theodosios Kyriakou United Kingdom
T. Quach United States
Laurent Pascual-Le Tallec France
P. Lohrer Germany
M. Rochel Germany
Giulio Vignati Italy
Yi-Shu Huang United Kingdom
Laura C. Kutz United States
J Székely Hungary
P. Mathern relative to Partha Sinha United States Partha Sinha's profile →
Citations per field
00.5×4.8×
Partha Sinha · 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 1993176
2 199368
3 199324
4
Increased pressor response to noradrenaline during septic shock following clonidine?
201023
5 199320
6 199318
7 199314
8 199312
9 199410
10 19958
11 19967
12 19936
13 19934
14 20080
15 20080
16 20080
17 20080

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 390 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (4 papers), RNA Research and Splicing (4 papers), Kruppel-like factors research (3 papers), Genomics and Chromatin Dynamics (3 papers), Genetics and Neurodevelopmental Disorders (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Adrenal Hormones and Disorders (2 papers) and Cell Adhesion Molecules Research (2 papers). The work is most often cited by research in Behavioral Neuroscience (141 citations), Biological Psychiatry (29 citations), Endocrinology, Diabetes and Metabolism (103 citations), Critical Care and Intensive Care Medicine (15 citations) and Genetics (66 citations). P. Mathern has collaborated with scholars based in United States, Belgium and Hungary. Frequent co-authors include Elaine F. Remmers, Leslie J. Crofford, R L Wilder, Ellen Goldmuntz, Theodore C. Friedman, George P. Chrousos, Howard R. Epps, Katia Karalis, Hideto Sano and Hongbin Zha. Their work appears in journals such as Mammalian Genome, Genomics, Journal of Neuroimmunology, Journal of Clinical Investigation and The Journal of Immunology.

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.

Explore authors with similar magnitude of impact