Max Alfert
Impact in
- Physiology top 5%
Papers in
-
- Plant Reproductive Biology 5
- DNA and Nucleic Acid Chemistry 4
- Protist diversity and phylogeny 3
- RNA Research and Splicing 2
-
- Chromosomal and Genetic Variations 3
- Co-authors
- Daniel Mazia (1 shared paper)Irving I. Geschwind (4 shared papers)Nirmal K. Das (14 shared papers)Howard A. Bern (3 shared papers)Julie Micou-Eastwood (4 shared papers)Raymond H. Kahn (1 shared paper)H. Swift (1 shared paper)Hewson Swift (1 shared paper)
- Journals
- Experimental Cell Research (7 papers)Proceedings of the National Academy of Sciences (5 papers)Biological Bulletin (4 papers)The Journal of Cell Biology (3 papers)Art Journal (2 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Max Alfert
41 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Physiology 101
- Ecology, Evolution, Behavior and Systematics 346
- Molecular Biology 1.1k
- Reproductive Medicine 130
- Plant Science 559
Countries citing papers authored by Max Alfert
This map shows the geographic impact of Max Alfert'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 Max Alfert with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Max Alfert more than expected).
Fields of papers citing papers by Max Alfert
This network shows the impact of papers produced by Max Alfert. 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 Max Alfert. The network helps show where Max Alfert may publish in the future.
Co-authors
The 24 scholars most cited alongside Max Alfert, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | THE CYTOCHEMICAL STAINING AND MEASUREMENT OF PROTEIN WITH MERCURIC BROMPHENOL BLUE Hit paper breakdown → | 1953 | 922 |
| 2 | A Selective Staining Method for the Basic Proteins of Cell Nuclei Hit paper breakdown → | 1953 | 489 |
| 3 | 1956 | 107 | |
| 4 | 1982 | 104 | |
| 5 | 1958 | 84 | |
| 6 | 1955 | 59 | |
| 7 | 1965 | 50 | |
| 8 | 1958 | 48 | |
| 9 | 2002 | 41 | |
| 10 | 1951 | 41 | |
| 11 | 1953 | 38 | |
| 12 | 1961 | 37 | |
| 13 | 1951 | 35 | |
| 14 | 1952 | 34 | |
| 15 | 1955 | 33 | |
| 16 | 1967 | 33 | |
| 17 | 1969 | 28 | |
| 18 | 1975 | 27 | |
| 19 | 1958 | 26 | |
| 20 | 1967 | 25 |
About Max Alfert
Max Alfert is a scholar working on Molecular Biology, Plant Science, Genetics, Oceanography and Ecology, Evolution, Behavior and Systematics, having authored 43 papers that have together received 2.5k indexed citations. Recurring topics across this work include Plant Reproductive Biology (5 papers), DNA and Nucleic Acid Chemistry (4 papers), Protist diversity and phylogeny (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Chromosomal and Genetic Variations (3 papers), Marine and coastal plant biology (3 papers), Echinoderm biology and ecology (2 papers) and RNA Research and Splicing (2 papers). The work is most often cited by research in Physiology (101 citations), Ecology, Evolution, Behavior and Systematics (346 citations), Molecular Biology (1.1k citations), Reproductive Medicine (130 citations) and Plant Science (559 citations). Max Alfert has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Daniel Mazia, Irving I. Geschwind, Nirmal K. Das, Howard A. Bern, Julie Micou-Eastwood, Raymond H. Kahn, H. Swift, Hewson Swift, Arthur W. Pollister and Caroline Schooley. Their work appears in journals such as Experimental Cell Research, Proceedings of the National Academy of Sciences, Biological Bulletin, The Journal of Cell Biology and Art Journal.
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.