Alison E. Willing

130 papers receiving 7.0k citations

Alison E. Willing's Hit Papers

Adult Bone Marrow Stromal Cells Differentiate into Neural Cells in Vitro 2000 · 1.3k citations
1.3k0+8+17Years since publication4008001.2k

Peers

Alison E. Willing
Comparison fields: 5 of 124
  • Developmental Neuroscience 1.9k
  • Genetics 3.0k
  • Neurology 1.5k
  • Cellular and Molecular Neuroscience 1.4k
  • Neurology 853
Replace Ling Wei with:
Ling Wei United States
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Aileen J. Anderson United States
Yang D. Teng United States
Isao Date Japan
Yunjuan Sun United States
Samuel Saporta United States
Dana M. McTigue United States
Lin Xie China
Akiko Nishiyama United States
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Citations per field
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Citations per year

Countries citing papers authored by Alison E. Willing

Since Specialization
Citations

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

Fields of papers citing papers by Alison E. Willing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alison E. Willing. 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 Alison E. Willing. The network helps show where Alison E. Willing may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 130 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adult Bone Marrow Stromal Cells Differentiate into Neural Cells in Vitro
Hit paper breakdown →
20001290
2 2004296
3 2003234
4 2003223
5 2008216
6 2005184
7 2001173
8 2006171
9 2003154
10 2012139
11 2002133
12 2009123
13 2006120
14 2002114
15 1997111
16 2011102
17 200596
18 200493
19 200391
20 199791

About Alison E. Willing

Alison E. Willing is a scholar working on Developmental Neuroscience, Genetics, Neurology, Molecular Biology and Cellular and Molecular Neuroscience, having authored 130 papers that have together received 7.1k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (47 papers), Mesenchymal stem cell research (37 papers), Neuroinflammation and Neurodegeneration Mechanisms (37 papers), Nerve injury and regeneration (18 papers), Pluripotent Stem Cells Research (17 papers), Amyotrophic Lateral Sclerosis Research (13 papers), Neurological Disease Mechanisms and Treatments (11 papers) and Neuroscience and Neuropharmacology Research (10 papers). The work is most often cited by research in Developmental Neuroscience (1.9k citations), Genetics (3.0k citations), Neurology (1.5k citations), Cellular and Molecular Neuroscience (1.4k citations) and Neurology (853 citations). Alison E. Willing has collaborated with scholars based in United States, Canada and Brazil. Frequent co-authors include Paul R. Sanberg, Keith R. Pennypacker, Samuel Saporta, Juan Sanchez‐Ramos, Cyndy D. Sanberg, Shijie Song, Svitlana Garbuzova‐Davis, Lisa Collier, Tanja Zigova and Thomas B. Freeman. Their work appears in journals such as Cell Transplantation, Experimental Neurology, Brain Research, Neurotoxicity Research and Stem Cells and Development.

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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