Agneta Jansson

1.7k citations
39 papers · 1.3k · h-index 23

Impact in

Papers in

    • Viral-associated cancers and disorders 5
    • Cancer-related Molecular Pathways 4
    • Estrogen and related hormone effects 11

Agneta Jansson

39 papers receiving 1.3k citations

Peers

Agneta Jansson
Comparison fields: 5 of 101
  • Oncology 540
  • Pathology and Forensic Medicine 244
  • Endocrinology, Diabetes and Metabolism 145
  • Cancer Research 131
  • Genetics 240
Replace Merja Bläuer with:
Merja Bläuer Finland
M. Kay Washington United States
Erika M. Kwon United States
Roble Bedolla United States
Yasuyuki Okamoto Japan
Suresh Mohla United States
Ayeleth Reshef Israel
Angelica A. Saetta Greece
Sandra L. Grimm United States
Cécile Godard France
Agneta Jansson relative to Merja Bläuer Finland Merja Bläuer's profile →
Citations per field
00.5×2.8×
Merja Bläuer · 1×
Citations per year

Countries citing papers authored by Agneta Jansson

Since Specialization
Citations

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

Fields of papers citing papers by Agneta Jansson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990136
2 200090
3 201790
4 198863
5 200660
6 199557
7 200255
8 199252
9 199749
10 201646
11 200943
12 201443
13 199538
14 200237
15 200133
16 199933
17 199931
18 200730
19 200929
20 200329

About Agneta Jansson

Agneta Jansson is a scholar working on Oncology, Genetics, Pathology and Forensic Medicine, Endocrinology, Diabetes and Metabolism and Molecular Biology, having authored 39 papers that have together received 1.3k indexed citations. Recurring topics across this work include Estrogen and related hormone effects (11 papers), Hormonal Regulation and Hypertension (7 papers), Viral-associated cancers and disorders (5 papers), Genetic factors in colorectal cancer (5 papers), Parvovirus B19 Infection Studies (4 papers), Cancer-related Molecular Pathways (4 papers), Heat shock proteins research (3 papers) and Lymphoma Diagnosis and Treatment (3 papers). The work is most often cited by research in Oncology (540 citations), Pathology and Forensic Medicine (244 citations), Endocrinology, Diabetes and Metabolism (145 citations), Cancer Research (131 citations) and Genetics (240 citations). Agneta Jansson has collaborated with scholars based in Sweden, Germany and Finland. Frequent co-authors include Olle Stål, Lars Rymo, Xiao‐Feng Sun, Anne Ricksten, Bo Nordenskjöld, Cecilia Gunnarsson, Robin Fåhræus, Tommy� Fornander, Maria G. Masucci and Gunnar Arbman. Their work appears in journals such as Breast Cancer Research and Treatment, International Journal of Cancer, Journal of General Virology, Journal of Clinical Oncology and Cancer 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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