Lee Niswander
Impact in
- Developmental Biology top 0.2%
- Congenital limb and hand anomalies
- Molecular Biology top 0.2%
- Developmental Biology and Gene Regulation
- Hedgehog Signaling Pathway Studies
- Congenital heart defects research
- Epigenetics and DNA Methylation
- Wnt/β-catenin signaling in development and cancer
- Renal and related cancers
Papers in
- Genetics 49
- Genetic and Kidney Cyst Diseases 11
- Connective tissue disorders research 10
- Co-authors
- Gail R. MartinAimin LiuKathryn V. AndersonHongyan ZouCheryll TickleSandrine PizetteAndrew S. RakemanDanwei Huangfu
- Journals
- Development (25 papers)Developmental Biology (24 papers)Developmental Dynamics (5 papers)Nature (5 papers)genesis (4 papers)
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Lee Niswander
138 papers receiving 12.9k citations
Hit Papers
Peers
Comparison fields: 5 of 148
- Developmental Biology 1.0k
- Molecular Biology 10.3k
- Genetics 3.9k
- Cell Biology 1.7k
- Developmental Neuroscience 415
Countries citing papers authored by Lee Niswander
This map shows the geographic impact of Lee Niswander'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 Lee Niswander with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lee Niswander more than expected).
Fields of papers citing papers by Lee Niswander
This network shows the impact of papers produced by Lee Niswander. 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 Lee Niswander. The network helps show where Lee Niswander may publish in the future.
Co-authors
The 25 scholars most cited alongside Lee Niswander, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2020 | 17 | |
| 3 | 2020 | 11 | |
| 4 | 2018 | 13 | |
| 5 | 2013 | 4 | |
| 6 | 2012 | 55 | |
| 7 | 2011 | 67 | |
| 8 | 2010 | 7 | |
| 9 | 2007 | 83 | |
| 10 | The correlated evolution of Runx2 tandem repeats and facial length in Carnivora | 2007 | 5 |
| 11 | 2006 | 103 | |
| 12 | 2006 | 23 | |
| 13 | 2006 | 306 | |
| 14 | 2005 | 87 | |
| 15 | 2005 | 24 | |
| 16 | 2003 | 99 | |
| 17 | 2003 | 8 | |
| 18 | 2002 | 208 | |
| 19 | 1998 | 53 | |
| 20 | 1995 | 49 |
About Lee Niswander
Lee Niswander is a scholar working on Developmental Biology, Genetics, Molecular Biology, Developmental Neuroscience and Rheumatology, having authored 140 papers that have together received 13.1k indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (46 papers), Hedgehog Signaling Pathway Studies (21 papers), Epigenetics and DNA Methylation (20 papers), Wnt/β-catenin signaling in development and cancer (16 papers), Congenital heart defects research (15 papers), Renal and related cancers (11 papers), Genetic and Kidney Cyst Diseases (11 papers) and Connective tissue disorders research (10 papers). The work is most often cited by research in Developmental Biology (1.0k citations), Molecular Biology (10.3k citations), Genetics (3.9k citations), Cell Biology (1.7k citations) and Developmental Neuroscience (415 citations). Lee Niswander has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Gail R. Martin, Aimin Liu, Kathryn V. Anderson, Hongyan Zou, Cheryll Tickle, Sandrine Pizette, Andrew S. Rakeman, Danwei Huangfu, Noel Murcia and Scott D. Weatherbee. Their work appears in journals such as Development, Developmental Biology, Developmental Dynamics, Nature and genesis.
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.