Mark C. Kowala

2.6k citations
56 papers · 1.9k indexed · h-index 24

Impact in

Papers in

Mark C. Kowala

55 papers receiving 1.9k citations

Peers

Mark C. Kowala
Comparison fields: 5 of 107
  • Biochemistry 146
  • Cardiology and Cardiovascular Medicine 385
  • Endocrinology, Diabetes and Metabolism 273
  • Cancer Research 210
  • Surgery 618
Replace Timo P. Hiltunen with:
Timo P. Hiltunen Finland
Barbara Gross France
Gert M. Kostner Austria
Uday Saxena United States
Cristina Dı́az-Jullien Spain
Luisa Lenti Italy
Anne Minnich United States
T J van Berkel Netherlands
P K Weech Canada
Helena E. Miettinen Finland
Mark C. Kowala relative to Timo P. Hiltunen Finland Timo P. Hiltunen's profile →
Citations per field
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Timo P. Hiltunen · 1×
Citations per year

Countries citing papers authored by Mark C. Kowala

Since Specialization
Citations

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

Fields of papers citing papers by Mark C. Kowala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark C. Kowala. 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 Mark C. Kowala. The network helps show where Mark C. Kowala may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20241
2 20206
3 20153
4 201522
5 20143
6 20139
7
Abstract 3922: A Potent Anti-Inflammatory CCR2/CCR5 Dual Antagonist Abrogates Adipose Inflammation and Glucose Intolerance, and Reduces Fat Mass in a Preclinical Model of Diet Induced Obesity
20081
8 2008159
9 20087
10 200811
11 200745
12 200711
13 200313
14 2001114
15 200076
16 199865
17 199837
18 199518
19 199178
20 19897

About Mark C. Kowala

Mark C. Kowala is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine, Surgery, Pharmacology and Physiology, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (16 papers), Renin-Angiotensin System Studies (11 papers), Hormonal Regulation and Hypertension (9 papers), Nitric Oxide and Endothelin Effects (7 papers), Cholesterol and Lipid Metabolism (7 papers), Atherosclerosis and Cardiovascular Diseases (5 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Biochemistry (146 citations), Cardiology and Cardiovascular Medicine (385 citations), Endocrinology, Diabetes and Metabolism (273 citations), Cancer Research (210 citations) and Surgery (618 citations). Mark C. Kowala has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include Maria Valentine, Robert J. Nicolosi, Stephen K. Durham, Sophie Beyer, Gunnar Åberg, Robert I. Grove, Robert J. Konrad, Mary Jo S. Danton, David P. Witte and Qing Xiao. Their work appears in journals such as Journal of Cardiovascular Pharmacology, Atherosclerosis, Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry and Scientific Reports.

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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