Daniel J. Lindner

7.5k citations
135 papers · 6.2k · h-index 43

Impact in

Papers in

    • Cytokine Signaling Pathways and Interactions 22
    • interferon and immune responses 21

Daniel J. Lindner

130 papers receiving 6.0k citations

Peers

Daniel J. Lindner
Comparison fields: 5 of 135
  • Cancer Research 1.1k
  • Immunology 1.3k
  • Oncology 1.4k
  • Molecular Biology 3.3k
  • Internal Medicine 153
Replace Donald L. Durden with:
Donald L. Durden United States
Anna‐Karin Olsson Sweden
Catherine Butterfield United States
Roberto Ronca Italy
Kazuyoshi Yanagihara Japan
Bruce A. Keyt United States
Graham C. Parry United States
Grazia Ambrosini United States
Daniela S. Krause United States
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Citations per field
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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-authors

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

Showing the 20 most-cited of 135 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010349
2 2015341
3 2004312
4 2013215
5 2014182
6 2000177
7 2011162
8 1986159
9 2004156
10 2001141
11 2011135
12 2005129
13
Pentamidine is an inhibitor of PRL phosphatases with anticancer activity.
2002112
14 2006108
15 2012107
16 1996100
17 201690
18 200289
19 201083
20 200782

About Daniel J. Lindner

Daniel J. Lindner is a scholar working on Oncology, Immunology, Molecular Biology, Hematology and Cancer Research, having authored 135 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (22 papers), interferon and immune responses (21 papers), Retinoids in leukemia and cellular processes (11 papers), Epigenetics and DNA Methylation (11 papers), Acute Myeloid Leukemia Research (10 papers), Protein Tyrosine Phosphatases (8 papers), Cell Adhesion Molecules Research (8 papers) and Angiogenesis and VEGF in Cancer (8 papers). The work is most often cited by research in Cancer Research (1.1k citations), Immunology (1.3k citations), Oncology (1.4k citations), Molecular Biology (3.3k citations) and Internal Medicine (153 citations). Daniel J. Lindner has collaborated with scholars based in United States, Japan and India. Frequent co-authors include Ernest C. Borden, Dhananjaya V. Kalvakolanu, Bei Morrison, Frederic J. Reu, Joseph Alan Bauer, Yvonne Parker, Barbara Jacobs, Mamta Chawla‐Sarkar, Taolin Yi and Songa Bae. Their work appears in journals such as Journal of Biological Chemistry, Cancer Research, 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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