David Dombkowski

9.4k citations
51 papers · 6.6k indexed · 4 hit papers · h-index 36

David Dombkowski

51 papers receiving 6.5k citations

Hit Papers

Stem-cell ageing modified by the cyclin-dependent kinase ...81820002026200820172505007501000

Peers

David Dombkowski
Comparison fields: 5 of 122
  • Hematology 1.7k
  • Aging 137
  • Genetics 830
  • Oncology 1.9k
  • Immunology 1.4k
Replace Keyvan Keyvanfar with:
Keyvan Keyvanfar United States
Guy Sauvageau Canada
Anne Wilson Switzerland
Marieke von Lindern Netherlands
Andrew W. Duncan United States
Saul J. Sharkis United States
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Mark S. Cragg United Kingdom
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Citations per field
00.5×4.7×
Keyvan Keyvanfar · 1×
Citations per year

Countries citing papers authored by David Dombkowski

Since Specialization
Citations

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

Fields of papers citing papers by David Dombkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201339
2 201017
3 201054
4 200960
5 2008263
6 2007203
7 200745
8
Ovarian cancer side population defines cells with stem cell-like characteristics and Mullerian Inhibiting Substance responsivenessbreakdown →
2006612
9
Stem-cell ageing modified by the cyclin-dependent kinase inhibitor p16INK4abreakdown →
2006818
10
Osteopontin is a hematopoietic stem cell niche component that negatively regulates stem cell pool sizebreakdown →
2005523
11 2004105
12
Haploinsufficiency of GAtA-2 effects adult stem cell homeostasis.
20031
13 200381
14 200321
15 200364
16 200342
17 200213
18 200030
19 2000274
20
Hematopoietic Stem Cell Quiescence Maintained by p21 cip1/waf1breakdown →
20001083

About David Dombkowski

David Dombkowski is a scholar working on Immunology, Hematology and Reproductive Medicine, having authored 51 papers that have together received 6.6k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (11 papers), Immune Cell Function and Interaction (9 papers), Hematopoietic Stem Cell Transplantation (8 papers), Reproductive Biology and Fertility (7 papers), Cancer Cells and Metastasis (6 papers), Immunotherapy and Immune Responses (5 papers), Reproductive System and Pregnancy (4 papers) and Cancer Genomics and Diagnostics (4 papers). The work is most often cited by research in Hematology (1.7k citations), Aging (137 citations) and Genetics (830 citations). David Dombkowski has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include David T. Scadden, Tao Cheng, Frederic I. Preffer, Neil P. Rodrigues, Megan Sykes, Sebastian Stier, Yong‐Guang Yang, Hongmei Shen, Randolf Forkert and Patricia K. Donahoe. Their work appears in journals such as Blood, Proceedings of the National Academy of Sciences, Experimental Hematology, Transplantation 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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