J. Lindtner

3.0k citations
12 papers · 679 · h-index 11

Impact in

    • Breast Cancer Treatment Studies
  • Oncology top 5%
    • Cancer Risks and Factors
    • HER2/EGFR in Cancer Research
    • Colorectal Cancer Treatments and Studies
    • Cancer Treatment and Pharmacology

Papers in

    • Cancer-related Molecular Pathways 4
    • Pancreatic and Hepatic Oncology Research 2
    • Global Cancer Incidence and Screening 2
    • Breast Cancer Treatment Studies 7
    • Cancer Genomics and Diagnostics 2

J. Lindtner

12 papers receiving 665 citations

Peers

J. Lindtner
Comparison fields: 5 of 78
  • Cancer Research 302
  • Oncology 471
  • Pathology and Forensic Medicine 93
  • Pulmonary and Respiratory Medicine 131
  • Genetics 91
Replace Takaomi Suzuma with:
Takaomi Suzuma Japan
Annalisa Volpi Italy
P.-E. Jönsson Sweden
C.J.H. Van de Velde Netherlands
Yasuhiro Yanagita Japan
Giorgio Mustacchi Italy
Morihiko Kimura Japan
R Gray United States
In Ae Park South Korea
J Sjöström Sweden
J. Lindtner relative to Takaomi Suzuma Japan Takaomi Suzuma's profile →
Citations per field
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Takaomi Suzuma · 1×
Citations per year

Countries citing papers authored by J. Lindtner

Since Specialization
Citations

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

Fields of papers citing papers by J. Lindtner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2004202
2 1997107
3 200780
4 199463
5 200253
6 199247
7 200340
8 201227
9 199725
10 200516
11 200416
12
Prognostic value of DNA ploidy in breast cancer stage I-II.
19973

About J. Lindtner

J. Lindtner is a scholar working on Oncology, Cancer Research, Pathology and Forensic Medicine, Surgery and Epidemiology, having authored 12 papers that have together received 679 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (7 papers), Cancer-related Molecular Pathways (4 papers), Lymphoma Diagnosis and Treatment (3 papers), Breast Lesions and Carcinomas (3 papers), Cancer Genomics and Diagnostics (2 papers), Pancreatic and Hepatic Oncology Research (2 papers), Estrogen and related hormone effects (2 papers) and Global Cancer Incidence and Screening (2 papers). The work is most often cited by research in Cancer Research (302 citations), Oncology (471 citations), Pathology and Forensic Medicine (93 citations), Pulmonary and Respiratory Medicine (131 citations) and Genetics (91 citations). J. Lindtner has collaborated with scholars based in Slovenia, Switzerland and Italy. Frequent co-authors include Aron Goldhirsch, Alan S. Coates, J. Collins, Monica Castiglione‐Gertsch, Karen N. Price, Edda Simoncini, Richard D. Gelber, Diana Crivellari, Beat Thürlimann and C.-M. Rudenstam. Their work appears in journals such as Annals of Oncology, Journal of Clinical Oncology, Cancer, British Journal of Cancer and The Lancet.

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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