Albert Grossman

34 papers receiving 726 citations

Peers

Albert Grossman
Comparison fields: 5 of 80
  • Cellular and Molecular Neuroscience 148
  • Biochemistry 53
  • Molecular Biology 470
  • Cardiology and Cardiovascular Medicine 120
  • Behavioral Neuroscience 16
Replace Irene Witt with:
Irene Witt Germany
Isaac Harary United States
Shuichi Saheki Japan
William J. Driscoll United States
Naomi Kraus-Friedmann United States
Y C Huang United States
Karl Johan Öbrink Sweden
Wesley L. Terasaki United States
Barbara Britton United States
Hans‐Peter Bär Canada
Albert Grossman relative to Irene Witt Germany Irene Witt's profile →
Citations per field
00.5×6.3×
Irene Witt · 1×
Citations per year

Countries citing papers authored by Albert Grossman

Since Specialization
Citations

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

Fields of papers citing papers by Albert Grossman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert Grossman. 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 Albert Grossman. The network helps show where Albert Grossman may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 19922
2 19916
3 198922
4 19883
5 19873
6 19861
7 198520
8 198412
9 198332
10 198118
11 1981180
12 197422
13 19742
14 19736
15 197111
16 197014
17 196934
18 19693
19 196778
20 195946

About Albert Grossman

Albert Grossman is a scholar working on Cell Biology, Endocrinology, Diabetes and Metabolism, Biochemistry, Cellular and Molecular Neuroscience and Complementary and alternative medicine, having authored 34 papers that have together received 798 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (8 papers), Estrogen and related hormone effects (4 papers), Receptor Mechanisms and Signaling (4 papers), Biochemical effects in animals (3 papers), Neuropeptides and Animal Physiology (3 papers), RNA and protein synthesis mechanisms (3 papers), Effects and risks of endocrine disrupting chemicals (3 papers) and Amino Acid Enzymes and Metabolism (2 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (148 citations), Biochemistry (53 citations), Molecular Biology (470 citations), Cardiology and Cardiovascular Medicine (120 citations) and Behavioral Neuroscience (16 citations). Albert Grossman has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Robert F. Furchgott, Amal M. Boctor, C. Mavrides, Sue G. Bartlett, Gregory W. Schmidt, Nam‐Hai Chua, Anthony R. Cashmore, Philip A. Band, Bernard Lane and Taisija de Gubareff. Their work appears in journals such as Endocrinology, European Journal of Biochemistry, Journal of Biological Chemistry, Biochemical and Biophysical Research Communications and Life Sciences.

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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