Daniel J. Lindner

7.3k citations
133 papers · 5.4k indexed · h-index 41

Impact in

    • Cancer, Hypoxia, and Metabolism
  • Immunology top 2%
    • interferon and immune responses
    • Immunotherapy and Immune Responses

Papers in

    • Cytokine Signaling Pathways and Interactions 23
    • interferon and immune responses 21

Daniel J. Lindner

130 papers receiving 5.3k citations

Peers

Daniel J. Lindner
Comparison fields: 5 of 133
  • Cancer Research 1.1k
  • Immunology 1.3k
  • Oncology 1.5k
  • Molecular Biology 3.2k
  • Internal Medicine 158
Replace Joji Kitayama with:
Joji Kitayama Japan
Kazuyoshi Yanagihara Japan
Yasuhiro Hida Japan
Charles N. Landen United States
Catherine Butterfield United States
Siu Tsan Yuen Hong Kong
Martijn F.B.G. Gebbink Netherlands
Bruce A. Keyt United States
Graham C. Parry United States
Daniel J. Lindner relative to Joji Kitayama Japan Joji Kitayama's profile →
Citations per field
00.5×1.5×1.9×
Joji Kitayama · 1×
Citations per year

Countries citing papers authored by Daniel J. Lindner

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Lindner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 20241
4 20232
5 202323
6 20208
7 201938
8 201837
9 201755
10 20178
11 201682
12 201458
13 201376
14 201060
15 200755
16 200327
17
Pentamidine is an inhibitor of PRL phosphatases with anticancer activity.
2002103
18 200256
19 199742
20 199698

About Daniel J. Lindner

Daniel J. Lindner is a scholar working on Oncology, Immunology, Immunology and Allergy, Hematology and Cancer Research, having authored 133 papers that have together received 5.4k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (23 papers), interferon and immune responses (21 papers), Epigenetics and DNA Methylation (14 papers), Retinoids in leukemia and cellular processes (11 papers), Acute Myeloid Leukemia Research (9 papers), Angiogenesis and VEGF in Cancer (9 papers), Cancer, Hypoxia, and Metabolism (9 papers) and Protein Tyrosine Phosphatases (9 papers). The work is most often cited by research in Cancer Research (1.1k citations), Immunology (1.3k citations), Oncology (1.5k citations), Molecular Biology (3.2k citations) and Internal Medicine (158 citations). Daniel J. Lindner has collaborated with scholars based in United States, India and Japan. Frequent co-authors include Ernest C. Borden, Dhananjaya V. Kalvakolanu, Bei Morrison, Frederic J. Reu, Barbara Jacobs, Joseph A. Bauer, Yvonne Parker, Mamta Chawla‐Sarkar, Taolin Yi and Songa Bae. Their work appears in journals such as Cancer Research, Journal of Biological Chemistry, Oncogene, Blood and Journal of Interferon & Cytokine 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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