Anthony J. Arleth

1.8k citations
22 papers · 1.6k indexed · 1 hit paper · h-index 17

Impact in

  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Protease and Inhibitor Mechanisms

Papers in

Anthony J. Arleth

22 papers receiving 1.5k citations

Hit Papers

Matrix Metalloproteinase Expression Increases After Cerebral Focal Ischemia in Rats 1998 · 620 citations
6201998202620072016200400600

Peers

Anthony J. Arleth
Comparison fields: 5 of 96
  • Neurology 214
  • Cancer Research 302
  • Cardiology and Cardiovascular Medicine 433
  • Hematology 172
  • Physiology 377
Replace Izumi Suzuma with:
Izumi Suzuma Japan
Ingrid Nilsson Sweden
Rohini Polavarapu United States
Barbara L. Storer United States
Hans-Peter Hammes Germany
Hitoshi Takagi Japan
Harold Thibodeaux United States
Hans‐Dieter Orzechowski Germany
Rosita Stanzione Italy
Enming J. Su United States
Anthony J. Arleth relative to Izumi Suzuma Japan Izumi Suzuma's profile →
Citations per field
00.5×1.5×1.8×
Izumi Suzuma · 1×
Citations per year

Countries citing papers authored by Anthony J. Arleth

Since Specialization
Citations

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

Fields of papers citing papers by Anthony J. Arleth

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anthony J. Arleth. 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 Anthony J. Arleth. The network helps show where Anthony J. Arleth may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 200147
2 199841
3 199834
4 199718
5 199414
6 199420
7 1994121
8 199316
9 199382
10 1992126
11 199259
12 19912
13 199120
14 199167
15 199030
16 198922
17 198920
18 19881
19 198868
20
Effects of the novel dopamine beta-hydroxylase inhibitor SK&F 102698 on catecholamines and blood pressure in spontaneously hypertensive rats.
19886

About Anthony J. Arleth

Anthony J. Arleth is a scholar working on Immunology and Allergy, Biochemistry, Physiology, Endocrinology, Diabetes and Metabolism and Cardiology and Cardiovascular Medicine, having authored 22 papers that have together received 1.6k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (6 papers), Cell Adhesion Molecules Research (4 papers), Eicosanoids and Hypertension Pharmacology (4 papers), Renin-Angiotensin System Studies (3 papers), Hormonal Regulation and Hypertension (3 papers), Receptor Mechanisms and Signaling (3 papers), Protease and Inhibitor Mechanisms (3 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Neurology (214 citations), Cancer Research (302 citations), Cardiology and Cardiovascular Medicine (433 citations), Hematology (172 citations) and Physiology (377 citations). Anthony J. Arleth has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Eliot H. Ohlstein, Anne M. Romanic, Frank C. Barone, Raymond F. White, C P Sung, Cheng-Po Sung, Barbara L. Storer, G Feuerstein, Barry A. Berkowitz and John D. Elliott. Their work appears in journals such as Journal of Pharmacology and Experimental Therapeutics, Pharmacology, Circulation Research, Life Sciences and Inflammation Research.

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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