Kaj Grandien

7.7k citations
19 papers · 6.5k indexed · 3 hit papers · h-index 14

Kaj Grandien

19 papers receiving 6.3k citations

Hit Papers

Human Estrogen Receptor β-Gene Structure, Chromosomal Loc...887199720262006201610002.0k3.0k

Peers

Kaj Grandien
Comparison fields: 5 of 108
  • Genetics 4.7k
  • Reproductive Medicine 950
  • Endocrinology, Diabetes and Metabolism 1.5k
  • Behavioral Neuroscience 285
  • Pathology and Forensic Medicine 1.0k
Replace Mahnaz Razandi with:
Mahnaz Razandi United States
Eckardt Treuter Sweden
John F. Couse United States
Jan-Åke Gustafsson Sweden
Claude Labrie Canada
Eva Enmark Sweden
Stefan Nilsson Sweden
Sylvia C. Hewitt United States
Johan Häggblad Sweden
Bo Carlsson Sweden
Kaj Grandien relative to Mahnaz Razandi United States Mahnaz Razandi's profile →
Citations per field
00.5×2.5×
Mahnaz Razandi · 1×
Citations per year

Countries citing papers authored by Kaj Grandien

Since Specialization
Citations

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

Fields of papers citing papers by Kaj Grandien

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

19 of 19 papers shown
#Work
1 20243
2 20212
3 201913
4 200851
5 200120
6 200078
7 20004
8 19993
9
Comparison of the Ligand Binding Specificity and Transcript Tissue Distribution of Estrogen Receptors α and βbreakdown →
19973762
10 199760
11
Human Estrogen Receptor β-Gene Structure, Chromosomal Localization, and Expression Pattern1breakdown →
1997887
12 1997494
13
Tissue Distribution and Quantitative Analysis of Estrogen Receptor-α (ERα) and Estrogen Receptor-β (ERβ) Messenger Ribonucleic Acid in the Wild-Type and ERα-Knockout Mousebreakdown →
1997813
14 199684
15 199630
16 199527
17 199592
18 199326
19 199346

About Kaj Grandien

Kaj Grandien is a scholar working on Aging, Genetics and Reproductive Medicine, having authored 19 papers that have together received 6.5k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (12 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers), Computational Drug Discovery Methods (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Retinoids in leukemia and cellular processes (2 papers), Reproductive System and Pregnancy (2 papers), RNA Research and Splicing (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (4.7k citations), Reproductive Medicine (950 citations) and Endocrinology, Diabetes and Metabolism (1.5k citations). Kaj Grandien has collaborated with scholars based in Sweden, Germany and United States. Frequent co-authors include Jan-Ακε Gustafsson, George G. J. M. Kuiper, Eva Enmark, Stefan Nilsson, Johan Häggblad, Bo Carlsson, Jonathan Lindzey, John F. Couse, Kenneth S. Korach and Katarina Pettersson. Their work appears in journals such as Genes & Development, The Journal of Clinical Endocrinology & Metabolism and Endocrinology.

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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