Alex B. Novikoff
- Cell Biology top 0.2%
- Cellular transport and secretion 7
- Clinical Biochemistry top 0.5%
- Metabolism and Genetic Disorders 6
- Biochemistry top 0.5%
- Amino Acid Enzymes and Metabolism 5
- Physiology top 0.5%
- Erythrocyte Function and Pathophysiology 8
- Physiology top 1%
- Erythrocyte Function and Pathophysiology 8
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- Liver Disease Diagnosis and Treatment 14
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- Pancreatic function and diabetes 12
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- Peroxisome Proliferator-Activated Receptors 8
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- Drug Transport and Resistance Mechanisms 7
- Co-authors
- Edward EssnerSidney GoldfischerPhyllis M. NovikoffNelson QuintanaEric HoltzmanWoo-Yung ShinDavid HamermanPeter Barland
- Partner nations
- United StatesSwedenPoland
In The Last Decade
Alex B. Novikoff
98 papers receiving 9.2k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Cell Biology 2.6k
- Clinical Biochemistry 789
- Biochemistry 801
- Physiology 438
- Physiology 2.0k
Countries citing papers authored by Alex B. Novikoff
This map shows the geographic impact of Alex B. Novikoff'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 Alex B. Novikoff with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alex B. Novikoff more than expected).
Fields of papers citing papers by Alex B. Novikoff
This network shows the impact of papers produced by Alex B. Novikoff. 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 Alex B. Novikoff. The network helps show where Alex B. Novikoff may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alex B. Novikoff, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 6 | |
| 2 | Cells and organelles | 1984 | 48 |
| 3 | 1983 | 12 | |
| 4 | 1982 | 62 | |
| 5 | 1979 | 7 | |
| 6 | 1978 | 57 | |
| 7 | 1978 | 14 | |
| 8 | 1977 | 20 | |
| 9 | 1975 | 31 | |
| 10 | 1974 | 74 | |
| 11 | 1972 | 225 | |
| 12 | 1972 | 16 | |
| 13 | 1972 | 134 | |
| 14 | GOLGI APPARATUS, GERL, AND LYSOSOMES OF NEURONS IN RAT DORSAL ROOT GANGLIA, STUDIED BY THICK SECTION AND THIN SECTION CYTOCHEMISTRYbreakdown → | 1971 | 507 |
| 15 | VISUALIZATION OF PEROXISOMES (MICROBODIES) AND MITOCHONDRIA WITH DIAMINOBENZIDINEbreakdown → | 1969 | 459 |
| 16 | 1962 | 59 | |
| 17 | 1956 | 232 | |
| 18 | Cortisone and carcinogenesis in mouse skin. I. Effect of cortisone during multiple paintings with methylcholanthrene. | 1956 | 16 |
| 19 | 1954 | 5 | |
| 20 | 1953 | 128 |
About Alex B. Novikoff
Alex B. Novikoff is a scholar working on Biochemistry, Physiology and Cell Biology, having authored 100 papers that have together received 10.8k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (14 papers), Pancreatic function and diabetes (12 papers), Erythrocyte Function and Pathophysiology (8 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Drug Transport and Resistance Mechanisms (7 papers), Cellular transport and secretion (7 papers), Metabolism and Genetic Disorders (6 papers) and Amino Acid Enzymes and Metabolism (5 papers). The work is most often cited by research in Cell Biology (2.6k citations), Clinical Biochemistry (789 citations) and Biochemistry (801 citations). Alex B. Novikoff has collaborated with scholars based in United States, Sweden and Poland. Frequent co-authors include Edward Essner, Sidney Goldfischer, Phyllis M. Novikoff, Nelson Quintana, Eric Holtzman, Woo-Yung Shin, David Hamerman, Peter Barland, Jean‐Jacques Hauw and Estelle Podber.
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.