David Kuninger

1.0k citations
22 papers · 874 · h-index 17

Impact in

  • Hematology top 10%
    • Iron Metabolism and Disorders
  • Genetics top 10%
    • Hemoglobinopathies and Related Disorders

Papers in

    • RNA Research and Splicing 4
    • Muscle Physiology and Disorders 4
    • Heat shock proteins research 2
    • Pluripotent Stem Cells Research 2
    • RNA Interference and Gene Delivery 2

David Kuninger

21 papers receiving 853 citations

Peers

David Kuninger
Comparison fields: 5 of 83
  • Hematology 111
  • Genetics 99
  • Molecular Biology 510
  • Aging 11
  • Rehabilitation 34
Replace So‐Hee Hong with:
So‐Hee Hong South Korea
Niels-Bjarne Woods Sweden
Yijun Yang China
Emilio Boada-Romero United States
Jean‐Paul Vernot Colombia
Michael R. Daws Norway
Sylvie Bonavaud France
Stéphanie François France
Ehsan Janzamin Iran
Toshioki Sawaki Japan
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Citations per field
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Citations per year

Countries citing papers authored by David Kuninger

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with David Kuninger Line = papers co-authored together David Kuninger links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1996151
2 200275
3 201272
4 201666
5 199965
6 199859
7 200655
8 199645
9 200843
10 200441
11 201035
12 200834
13 199631
14 201728
15 200725
16 200421
17 200316
18 20069
19 20181
20
Identification And Initial Characterization Of Limbal Stem Cells Isolated From Human Cornea
20111

About David Kuninger

David Kuninger is a scholar working on Molecular Biology, Genetics, Hematology, Endocrinology, Diabetes and Metabolism and Surgery, having authored 22 papers that have together received 874 indexed citations. Recurring topics across this work include RNA Research and Splicing (4 papers), Muscle Physiology and Disorders (4 papers), Growth Hormone and Insulin-like Growth Factors (3 papers), Iron Metabolism and Disorders (3 papers), Heat shock proteins research (2 papers), Pluripotent Stem Cells Research (2 papers), RNA Interference and Gene Delivery (2 papers) and Trace Elements in Health (2 papers). The work is most often cited by research in Hematology (111 citations), Genetics (99 citations), Molecular Biology (510 citations), Aging (11 citations) and Rehabilitation (34 citations). David Kuninger has collaborated with scholars based in United States, Denmark and Portugal. Frequent co-authors include Peter Rotwein, John Papaconstantinou, Ching-Chyuan Hsieh, Jeffrey P. Rabek, Mi Ra An, Ryan Kuzmickas, Mahta Nili, Mohan C. Vemuri, Shayne Boucher and David N. Herndon. Their work appears in journals such as Surgery, American Journal of Physiology-Cell Physiology, The Journal of Immunology, Genomics and Molecular and Cellular Biology.

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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