T Hägerström

704 citations
11 papers · 297 · h-index 9

Impact in

Papers in

T Hägerström

10 papers receiving 273 citations

Peers

T Hägerström
Comparison fields: 5 of 55
  • Cancer Research 61
  • Oncology 110
  • Endocrinology, Diabetes and Metabolism 44
  • Genetics 56
  • Psychiatry and Mental health 24
Replace D. P. S. SANDHU with:
D. P. S. SANDHU United Kingdom
Akira Junicho Japan
Lynn M. Neilson United States
Martin Tochacek United States
Thompson Eb United States
E. McDermott Ireland
Emma Jernberg Sweden
Bernhard Suchy Germany
Grethe I.G. Alnæs Norway
Carolyn Slater United States
T Hägerström relative to D. P. S. SANDHU United Kingdom D. P. S. SANDHU's profile →
Citations per field
00.5×1.5×
D. P. S. SANDHU · 1×
Citations per year

Countries citing papers authored by T Hägerström

Since Specialization
Citations

This map shows the geographic impact of T Hägerström'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 T Hägerström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T Hägerström more than expected).

Fields of papers citing papers by T Hägerström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside T Hägerström, 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 T Hägerström Line = papers co-authored together T Hägerström links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 200691
2
Prognostic significance of the receptor for epidermal growth factor in human mammary carcinomas.
198758
3
Identification of transforming growth factor alpha in human primary breast carcinomas.
198826
4 200024
5 197722
6 200620
7 198119
8
Transforming growth factor alpha in human mammary carcinomas and their metastases.
198917
9 197616
10 19864
11
Detection of TdT in AML blasts by immunological and biochemical techniques.
19860

About T Hägerström

T Hägerström is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Hematology, Infectious Diseases and Pulmonary and Respiratory Medicine, having authored 11 papers that have together received 297 indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (3 papers), Acute Lymphoblastic Leukemia research (3 papers), Estrogen and related hormone effects (2 papers), TGF-β signaling in diseases (2 papers), HIV/AIDS drug development and treatment (2 papers), HER2/EGFR in Cancer Research (2 papers), DNA Repair Mechanisms (1 paper) and Chronic Myeloid Leukemia Treatments (1 paper). The work is most often cited by research in Cancer Research (61 citations), Oncology (110 citations), Endocrinology, Diabetes and Metabolism (44 citations), Genetics (56 citations) and Psychiatry and Mental health (24 citations). T Hägerström has collaborated with scholars based in Sweden, Cuba and Germany. Frequent co-authors include Lambert Skoog, Bo von Schoultz, Edneia Tani, Angelica Lindén Hirschberg, Edward Azavedo, Claes Klintenberg, Ramón Pérez, Bo Nordenskjöld, Lars Erik Rutqvist and Hemming Johansson. Their work appears in journals such as European Journal of Cancer, European Journal of Biochemistry, Climacteric, Menopause The Journal of The North American Menopause Society and European Journal of Cancer (1965).

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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