Daniel T. Starczynowski

11.6k citations
89 papers · 3.4k indexed · 1 hit paper · h-index 32
Topics
Acute Myeloid Leukemia Research (47 papers)NF-κB Signaling Pathways (24 papers)Immune Response and Inflammation (15 papers)
Partner nations
United StatesCanadaJapan

In The Last Decade

Daniel T. Starczynowski

82 papers receiving 3.4k citations

Hit Papers

Identification of miR-145 and miR-146a as mediators of th...20092026201420202009100200300400500

Peers

Daniel T. Starczynowski
Comparison fields: 5 of 99
  • Molecular Biology 1.8k
  • Hematology 1.4k
  • Immunology 1.3k
  • Cancer Research 1.1k
  • Genetics 451
Replace Jan Jacob Schuringa with:
Jan Jacob Schuringa Netherlands
Tushar D. Bhagat United States
Jianguo Tao United States
Roberta Riccioni Italy
Renate Burger Germany
Pearlie K. Epling‐Burnette United States
Gianfranco Mattia Italy
Goro Sashida Japan
Gabriel Ghiaur United States
Daniel T. Starczynowski relative to Jan Jacob Schuringa Netherlands Jan Jacob Schuringa's profile →
Citations per field
00.5×1.5×1.9×
Jan Jacob Schuringa · 1×
Citations per year

Countries citing papers authored by Daniel T. Starczynowski

Since Specialization
Citations

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

Fields of papers citing papers by Daniel T. Starczynowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel T. Starczynowski

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel T. Starczynowski. A scholar is included among the top collaborators of Daniel T. Starczynowski based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel T. Starczynowski. Daniel T. Starczynowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 2
3 0
4 4
5 11
6 3
7 3
8 8
9 4
10 4
11 27
12 15
13 25
14 57
15 114
16 43
17 49
18 94
19 9
20 89

About Daniel T. Starczynowski

Daniel T. Starczynowski is a scholar working on Hematology, Cancer Research and Immunology, having authored 89 papers that have together received 3.4k indexed citations. Recurring topics across this work include Acute Myeloid Leukemia Research (47 papers), NF-κB Signaling Pathways (24 papers) and Immune Response and Inflammation (15 papers). The work is most often cited by research in Hematology (1.4k citations), Cancer Research (1.1k citations) and Immunology (1.3k citations). Daniel T. Starczynowski has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include Garrett W. Rhyasen, Aly Karsan, Thomas D. Gilmore, Wan L. Lam, Timothy M. Chlon, Laura Barreyro, Jennifer J. Trowbridge, R. Keith Humphries, Florian Kuchenbauer and Demetrios Kalaitzidis. Their work appears in journals such as Nature, Journal of Clinical Investigation and Nature Medicine.

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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