Christopher M. Ward

4.5k citations
72 papers · 3.7k indexed · h-index 35

Christopher M. Ward

72 papers receiving 3.6k citations

Peers

Christopher M. Ward
Comparison fields: 5 of 129
  • Molecular Biology 2.0k
  • Genetics 554
  • Neurology 503
  • Cell Biology 432
  • Surgery 428
Replace Toshiyuki Yamamoto with:
Toshiyuki Yamamoto Japan
Shant Kumar United Kingdom
Serena Zacchigna Italy
Riitta Herva Finland
Bent Brachvogel Germany
Tadashi Yasuda Japan
Elizabeth A. Wang United States
Tomoatsu Kimura Japan
Fabio Quondamatteo Germany
Sirkku Peltonen Finland
Christopher M. Ward relative to Toshiyuki Yamamoto Japan Toshiyuki Yamamoto's profile →
Citations per field
00.5×1.5×2.1×
Toshiyuki Yamamoto · 1×
Citations per year

Countries citing papers authored by Christopher M. Ward

Since Specialization
Citations

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

Fields of papers citing papers by Christopher M. Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Christopher M. Ward. 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 Christopher M. Ward. The network helps show where Christopher M. Ward may publish in the future.

Co-authorship network of co-authors of Christopher M. Ward

This figure shows the co-authorship network connecting the top 25 collaborators of Christopher M. Ward. A scholar is included among the top collaborators of Christopher M. Ward 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 Christopher M. Ward. Christopher M. Ward 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 41
2 18
3 47
4 9
5
MiRNA-200b Inhibits Epithelial-Mesenchymal Transition in TGF-b1 Induced Human Bronchial Epithelial Cells.
1
6 24
7 64
8 166
9 33
10 40
11 11
12 20
13 2
14 15
15 34
16 80
17 43
18 30
19 20
20 6

About Christopher M. Ward

Christopher M. Ward is a scholar working on Hematology, Immunology and Allergy and Molecular Biology, having authored 72 papers that have together received 3.7k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (21 papers), CRISPR and Genetic Engineering (12 papers) and RNA Interference and Gene Delivery (8 papers). The work is most often cited by research in Immunology and Allergy (229 citations), Hematology (415 citations) and Neurology (503 citations). Christopher M. Ward has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Peter L. Stern, Leonard W. Seymour, Michael C. Berndt, Robert K. Andrews, Francesca Soncin, Catherine L.R. Merry, Don W. Cleveland, Sarah Ritson, Lisa Mohamet and Peter J. Newman. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

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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