K.R. Marotti

1.6k citations
31 papers · 1.4k · h-index 17

Impact in

Papers in

K.R. Marotti

30 papers receiving 1.3k citations

Peers

K.R. Marotti
Comparison fields: 5 of 92
  • Molecular Medicine 115
  • Infectious Diseases 305
  • Clinical Biochemistry 114
  • Cancer Research 180
  • Applied Microbiology and Biotechnology 23
Replace William E. Alborn with:
William E. Alborn United States
J. Andrews United Kingdom
Mina Levy United States
Jeng‐Pyng Shaw United States
Shigeo Morimoto Japan
Raymond H. See Canada
H. Hattori Japan
Marc Aumercier France
Deborah L. Higgins United States
David C. Eustice United States
K.R. Marotti relative to William E. Alborn United States William E. Alborn's profile →
Citations per field
00.5×3.3×
William E. Alborn · 1×
Citations per year

Countries citing papers authored by K.R. Marotti

Since Specialization
Citations

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

Fields of papers citing papers by K.R. Marotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.R. Marotti. 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 K.R. Marotti. The network helps show where K.R. Marotti may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997314
2 1997226
3 1991134
4 199284
5 199673
6 198973
7 198867
8 199155
9 199444
10 199138
11 199130
12 198924
13 199123
14 198823
15 199022
16 198122
17 198621
18 198912
19 200812
20 199412

About K.R. Marotti

K.R. Marotti is a scholar working on Molecular Biology, Cancer Research, Surgery, Epidemiology and Genetics, having authored 31 papers that have together received 1.4k indexed citations. Recurring topics across this work include Protease and Inhibitor Mechanisms (7 papers), Cholesterol and Lipid Metabolism (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Blood Coagulation and Thrombosis Mechanisms (4 papers), Lipid metabolism and biosynthesis (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers) and Machine Learning in Bioinformatics (3 papers). The work is most often cited by research in Molecular Medicine (115 citations), Infectious Diseases (305 citations), Clinical Biochemistry (114 citations), Cancer Research (180 citations) and Applied Microbiology and Biotechnology (23 citations). K.R. Marotti has collaborated with scholars based in United States and Canada. Frequent co-authors include Robert W. Murray, Alice H. Lin, George W. Melchior, E.F. Rehberg, Tom Vidmar, Christine K. Castle, H. Greg Polites, M E Pape, Dean L. Shinabarger and William F. Demyan. Their work appears in journals such as Journal of Biological Chemistry, Journal of Lipid Research, Gene, Antimicrobial Agents and Chemotherapy and Thrombosis and Haemostasis.

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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