David Kuninger
Impact in
- Aging top 10%
- Hematology top 10%
- Iron Metabolism and Disorders
Papers in
-
- Iron Metabolism and Disorders 3
-
- Muscle Physiology and Disorders 4
- Genomics and Chromatin Dynamics 3
- Pluripotent Stem Cells Research 2
- RNA Interference and Gene Delivery 1
- Co-authors
- Peter S. Rotwein (10 shared papers)John Papaconstantinou (5 shared papers)Ching-Chyuan Hsieh (4 shared papers)Jeffrey P. Rabek (2 shared papers)Mi Ra An (2 shared papers)Ryan Kuzmickas (2 shared papers)Mohan C. Vemuri (4 shared papers)Mahta Nili (2 shared papers)
- Journals
- Surgery (2 papers)American Journal of Physiology-Cell Physiology (2 papers)Molecular Biology of the Cell (1 paper)Molecular Endocrinology (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- United StatesPortugalDenmark
In The Last Decade
David Kuninger
20 papers receiving 852 citations
Peers
Comparison fields: 5 of 69
- Aging 18
- Hematology 113
- Molecular Biology 439
- Hepatology 34
- Oncology 82
Countries citing papers authored by David Kuninger
This map shows the geographic impact of David Kuninger'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 Kuninger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Kuninger more than expected).
Fields of papers citing papers by David Kuninger
This network shows the impact of papers produced by David Kuninger. 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 Kuninger. The network helps show where David Kuninger may publish in the future.
Co-authors
The 25 scholars most cited alongside David Kuninger, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1996 | 147 | |
| 2 | 2002 | 77 | |
| 3 | 2012 | 75 | |
| 4 | 1999 | 67 | |
| 5 | 2016 | 67 | |
| 6 | 1998 | 59 | |
| 7 | 2006 | 54 | |
| 8 | 1996 | 44 | |
| 9 | 2008 | 42 | |
| 10 | 2004 | 41 | |
| 11 | 2010 | 36 | |
| 12 | 2008 | 33 | |
| 13 | 1996 | 30 | |
| 14 | 2017 | 29 | |
| 15 | 2007 | 25 | |
| 16 | 2004 | 22 | |
| 17 | 2003 | 15 | |
| 18 | 2006 | 9 | |
| 19 | 2025 | 8 | |
| 20 | Superior expansion of long-term hematopoietic stem cells using StemPro™ HSC medium kit | 2019 | 1 |
About David Kuninger
David Kuninger is a scholar working on Hematology, Molecular Biology, Oncology, Aging and Immunology, having authored 21 papers that have together received 881 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Genomics and Chromatin Dynamics (3 papers), Iron Metabolism and Disorders (3 papers), Burn Injury Management and Outcomes (2 papers), Pluripotent Stem Cells Research (2 papers), Immune Response and Inflammation (2 papers), RNA Interference and Gene Delivery (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Aging (18 citations), Hematology (113 citations), Molecular Biology (439 citations), Hepatology (34 citations) and Oncology (82 citations). David Kuninger has collaborated with scholars based in United States, Portugal and Denmark. Frequent co-authors include Peter S. Rotwein, John Papaconstantinou, Ching-Chyuan Hsieh, Jeffrey P. Rabek, Mi Ra An, Ryan Kuzmickas, Mohan C. Vemuri, Mahta Nili, David Newcomb Herndon and Shayne Boucher. Their work appears in journals such as Surgery, American Journal of Physiology-Cell Physiology, Molecular Biology of the Cell, Molecular Endocrinology and Journal of Cell Science.
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.