Thor Tejada

937 citations
14 papers · 725 · h-index 10

Impact in

  • Nephrology top 5%
    • Chronic Kidney Disease and Diabetes
    • Renal Diseases and Glomerulopathies
    • Advanced Glycation End Products research

Papers in

Thor Tejada

13 papers receiving 711 citations

Peers

Thor Tejada
Comparison fields: 5 of 84
  • Nephrology 170
  • Clinical Biochemistry 60
  • Cardiology and Cardiovascular Medicine 154
  • Endocrinology, Diabetes and Metabolism 100
  • Molecular Biology 366
Replace Yiwen Li with:
Yiwen Li China
Xiaogang Du China
Mako Yasuda‒Yamahara Japan
Nobuo Kajitani Japan
Chenzhong Li China
Fei Fang Canada
Junna Yamaguchi Japan
Ryo Kodera Japan
Erwin Böttinger United States
Yuichiro Makita Japan
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Citations per field
00.5×11.2×
Yiwen Li · 1×
Citations per year

Countries citing papers authored by Thor Tejada

Since Specialization
Citations

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

Fields of papers citing papers by Thor Tejada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2014209
2 2008149
3 2008142
4 200766
5 200854
6 201635
7 201819
8 200616
9 201612
10 200710
11 19996
12
Angiotensin type 2-receptor (AT2R) activation induces hypotension in apolipoprotein E-deficient mice by activating peroxisome proliferator-activated receptor-γ.
20164
13 20173
14 20160

About Thor Tejada

Thor Tejada is a scholar working on Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology, Epidemiology and Nephrology, having authored 14 papers that have together received 725 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (2 papers), Mast cells and histamine (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Renal Diseases and Glomerulopathies (2 papers), Blood Pressure and Hypertension Studies (2 papers), Congenital Heart Disease Studies (2 papers), Chronic Kidney Disease and Diabetes (2 papers) and Genetic and Kidney Cyst Diseases (1 paper). The work is most often cited by research in Nephrology (170 citations), Clinical Biochemistry (60 citations), Cardiology and Cardiovascular Medicine (154 citations), Endocrinology, Diabetes and Metabolism (100 citations) and Molecular Biology (366 citations). Thor Tejada has collaborated with scholars based in United States, Australia and Sweden. Frequent co-authors include Alessia Fornoni, Oliver Lenz, Adeel Ijaz, Sharon J. Elliot, Paola Catanuto, Robert M. Graham, Xuefeng Xia, Javier Varona Santos, Jonathan P. Lambert and Nawazish Naqvi. Their work appears in journals such as Kidney International, Congenital Heart Disease, Diabetologia, Current Cardiology Reports and Cell.

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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