Alberto Huberman
Impact in
- Aquatic Science top 2%
- Aquaculture Nutrition and Growth
-
- Neurobiology and Insect Physiology Research
Papers in
-
- Neurobiology and Insect Physiology Research 20
- Ecology 21
- Crustacean biology and ecology 13
- Physiological and biochemical adaptations 6
- Bacteriophages and microbial interactions 4
- Co-authors
- Manuel B. Aguilar (12 shared papers)Jeffrey Shabanowitz (4 shared papers)Hugo Aréchigá (5 shared papers)Donald F. Hunt (4 shared papers)Mariano Tao (1 shared paper)L. Scott Quackenbush (2 shared papers)Rocco Falchetto (2 shared papers)Keith Brew (1 shared paper)
- Journals
- Peptides (5 papers)Aquaculture (2 papers)Brain Research (2 papers)FEBS Journal (1 paper)Evolutionary Bioinformatics (1 paper)
- Partner nations
- MexicoUnited StatesRussia
In The Last Decade
Alberto Huberman
44 papers receiving 789 citations
Peers
Comparison fields: 5 of 81
- Aquatic Science 255
- Cellular and Molecular Neuroscience 452
- Physiology 84
- Ecology 352
- Immunology 160
Countries citing papers authored by Alberto Huberman
This map shows the geographic impact of Alberto Huberman'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 Alberto Huberman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto Huberman more than expected).
Fields of papers citing papers by Alberto Huberman
This network shows the impact of papers produced by Alberto Huberman. 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 Alberto Huberman. The network helps show where Alberto Huberman may publish in the future.
Co-authors
The 25 scholars most cited alongside Alberto Huberman, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 153 | |
| 2 | 1993 | 60 | |
| 3 | 1995 | 58 | |
| 4 | 1970 | 54 | |
| 5 | 1996 | 42 | |
| 6 | 1992 | 38 | |
| 7 | 1974 | 37 | |
| 8 | 2006 | 34 | |
| 9 | 1995 | 30 | |
| 10 | 1977 | 30 | |
| 11 | 1990 | 29 | |
| 12 | 1988 | 25 | |
| 13 | 1998 | 24 | |
| 14 | 1969 | 23 | |
| 15 | 1988 | 22 | |
| 16 | 1989 | 22 | |
| 17 | 2002 | 20 | |
| 18 | 1979 | 19 | |
| 19 | 1986 | 17 | |
| 20 | 1979 | 16 |
About Alberto Huberman
Alberto Huberman is a scholar working on Cellular and Molecular Neuroscience, Ecology, Molecular Biology, Aquatic Science and Epidemiology, having authored 46 papers that have together received 862 indexed citations. Recurring topics across this work include Neurobiology and Insect Physiology Research (20 papers), Crustacean biology and ecology (13 papers), Aquaculture Nutrition and Growth (8 papers), Physiological and biochemical adaptations (6 papers), Machine Learning in Bioinformatics (4 papers), Bacteriophages and microbial interactions (4 papers), Liver Disease Diagnosis and Treatment (4 papers) and Invertebrate Immune Response Mechanisms (3 papers). The work is most often cited by research in Aquatic Science (255 citations), Cellular and Molecular Neuroscience (452 citations), Physiology (84 citations), Ecology (352 citations) and Immunology (160 citations). Alberto Huberman has collaborated with scholars based in Mexico, United States and Russia. Frequent co-authors include Manuel B. Aguilar, Jeffrey Shabanowitz, Hugo Aréchigá, Donald F. Hunt, Mariano Tao, L. Scott Quackenbush, Rocco Falchetto, Keith Brew, E. Naylor and Adolfo Martı́nez-Palomo. Their work appears in journals such as Peptides, Aquaculture, Brain Research, FEBS Journal and Evolutionary Bioinformatics.
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.