Marlena Grynfarb

19 papers receiving 356 citations

Peers

Marlena Grynfarb
Comparison fields: 5 of 53
  • Endocrinology, Diabetes and Metabolism 114
  • Cellular and Molecular Neuroscience 117
  • Genetics 131
  • Computational Theory and Mathematics 66
  • Behavioral Neuroscience 11
Replace Charlotta Mellin with:
Charlotta Mellin Sweden
Suzie A. Ferreira United States
Ryan P. Trump United States
Alan D. Neubert United States
Stuart D.C. Ward United States
Loretta A. McQuaid United States
Joaquín Botta United Kingdom
Annika Frank Germany
Marina Mostardini Italy
Kethireddy V.V. Ananthalakshmi Kuwait
Marlena Grynfarb relative to Charlotta Mellin Sweden Charlotta Mellin's profile →
Citations per field
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Charlotta Mellin · 1×
Citations per year

Countries citing papers authored by Marlena Grynfarb

Since Specialization
Citations

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

Fields of papers citing papers by Marlena Grynfarb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20078
2 20066
3 20068
4 200629
5 200520
6 200520
7 200511
8 200520
9 200528
10 20048
11 200447
12 20044
13 20049
14 200412
15 20039
16 198212
17 1981111
18 19805
19 198017

About Marlena Grynfarb

Marlena Grynfarb is a scholar working on Endocrinology, Diabetes and Metabolism, Genetics and Toxicology, having authored 19 papers that have together received 384 indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Receptor Mechanisms and Signaling (5 papers), Hormonal Regulation and Hypertension (5 papers), Thyroid Disorders and Treatments (5 papers), Retinoids in leukemia and cellular processes (4 papers), Computational Drug Discovery Methods (3 papers), Ion channel regulation and function (2 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (114 citations), Cellular and Molecular Neuroscience (117 citations) and Genetics (131 citations). Marlena Grynfarb has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Tamás Bartfai, Britta Hedlund, Kjell Fuxé, Konrad F. Koehler, Johan Malm, Karin Mellström, Annika Goos‐Nilsson, J. T. Link, Bryan K. Sorensen and Mathias Färnegårdh. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Acta chemica Scandinavica/Acta chemica Scandinavica. B, Organic chemistry and biochemistry/Acta chemica Scandinavica. A, Physical and inorganic chemistry/Acta chemica Scandinavica. Series B. Organic chemistry and biochemistry/Acta chemica Scandinavica. Series A, Physical and inorganic chemistry, Naunyn-Schmiedeberg s Archives of Pharmacology and Brain Research.

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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