S. Nilsson

1.3k citations
17 papers · 1.1k indexed · h-index 13

Impact in

Papers in

    • Estrogen and related hormone effects 7
    • Virus-based gene therapy research 2
    • Bioactive Compounds and Antitumor Agents 1

S. Nilsson

17 papers receiving 1.0k citations

Peers

S. Nilsson
Comparison fields: 5 of 91
  • Genetics 514
  • Endocrinology, Diabetes and Metabolism 193
  • Oncology 214
  • Behavioral Neuroscience 27
  • Cancer Research 103
Replace Tomas Barkhem with:
Tomas Barkhem Sweden
Frédéric Percevault France
H.J. Kloosterboer Netherlands
Elisabeth Stoecklin Germany
J. Poortman Netherlands
Béla Szende Hungary
A. Lupulescu United States
Haruki Kato Japan
JingHong Wan France
Kazushige Adachi Japan
S. Nilsson relative to Tomas Barkhem Sweden Tomas Barkhem's profile →
Citations per field
00.5×6.8×
Tomas Barkhem · 1×
Citations per year

Countries citing papers authored by S. Nilsson

Since Specialization
Citations

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

Fields of papers citing papers by S. Nilsson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 201331
2 201153
3 2010274
4 2006306
5 200629
6 200414
7 20005
8 199962
9
The use of engineered cells for evaluation of the activity of small organic compounds interacting with the human glucocorticoid receptor
19944
10 199346
11 199193
12 198916
13 198424
14 198333
15 198345
16 19809
17
Action of testosterone on ventral prostate, dorsolateral prostate coagulating glands and seminal vesicles of castrated alloxan-diabetic rats.
19679

About S. Nilsson

S. Nilsson is a scholar working on Genetics, Toxicology, Physiology, Oncology and Microbiology, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (7 papers), Polyomavirus and related diseases (3 papers), Virus-based gene therapy research (2 papers), Bacteriophages and microbial interactions (2 papers), Inflammatory mediators and NSAID effects (2 papers), Cytokine Signaling Pathways and Interactions (2 papers), Bioactive Compounds and Antitumor Agents (1 paper) and Chemical Synthesis and Analysis (1 paper). The work is most often cited by research in Genetics (514 citations), Endocrinology, Diabetes and Metabolism (193 citations), Oncology (214 citations), Behavioral Neuroscience (27 citations) and Cancer Research (103 citations). S. Nilsson has collaborated with scholars based in Sweden, United States and Italy. Frequent co-authors include J Gustafsson, Göran Magnusson, Galyna Bryzgalova, Tatiana L. Steiler, Abdul Waheed Khan, Hui Gao, Karin Dahlman‐Wright, Jan Gustafsson, Dana Galuska and Juleen R. Zierath. Their work appears in journals such as Journal of Biological Chemistry, Journal of Virology, Oncogenesis, Clinical Pharmacology & Therapeutics and Bioorganic & Medicinal Chemistry Letters.

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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