Ashley Zehnder

2.8k citations
24 papers · 1.9k indexed · 1 hit paper · h-index 15
Topics
Biomedical Text Mining and Ontologies (5 papers)Machine Learning in Healthcare (4 papers)Topic Modeling (4 papers)
Partner nations
United StatesFranceChina

In The Last Decade

Ashley Zehnder

23 papers receiving 1.9k citations

Hit Papers

Control of somatic tissue differentiation by the long non...20122026201620212012200400600

Peers

Ashley Zehnder
Comparison fields: 5 of 118
  • Molecular Biology 1.3k
  • Cancer Research 972
  • Immunology 194
  • Epidemiology 187
  • Oncology 168
Replace Frances V. Fuller-Pace with:
Frances V. Fuller-Pace United Kingdom
Paola Massimi Italy
Beichu Guo United States
Brian Champion United Kingdom
Ryo Goitsuka Japan
Oscar Franzén Sweden
Dror Avni Israel
Élisabeth Devilard France
Takaomi Ishida Japan
Primo Baybayan United States
Ashley Zehnder relative to Frances V. Fuller-Pace United Kingdom Frances V. Fuller-Pace's profile →
Citations per field
00.5×1.5×
Frances V. Fuller-Pace · 1×
Citations per year

Countries citing papers authored by Ashley Zehnder

Since Specialization
Citations

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

Fields of papers citing papers by Ashley Zehnder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ashley Zehnder

This figure shows the co-authorship network connecting the top 25 collaborators of Ashley Zehnder. A scholar is included among the top collaborators of Ashley Zehnder based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ashley Zehnder. Ashley Zehnder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 27
2 27
3 103
4 22
5 18
6 12
7 12
8 195
9 43
10 155
11
Control of somatic tissue differentiation by the long non-coding RNA TINCRbreakdown →
742
12 22
13 365
14 26
15 8
16 2
17 4
18 17
19 3
20 3

About Ashley Zehnder

Ashley Zehnder is a scholar working on Small Animals, Equine and Microbiology, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (5 papers), Machine Learning in Healthcare (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Cancer Research (972 citations), Dermatology (166 citations) and Molecular Biology (1.3k citations). Ashley Zehnder has collaborated with scholars based in United States, France and China. Frequent co-authors include Paul A. Khavari, Carolyn Lee, Dan E. Webster, Ross J. Flockhart, Grace Kim, Markus Kretz, Kun Qu, Grace X. Y. Zheng, Zurab Siprashvili and Jennifer Chow. Their work appears in journals such as Nature, Cell 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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