Jonathan C. Howell

23 papers receiving 1.6k citations

Jonathan C. Howell's Hit Papers

An in vivo model of human small intestine using pluripotent stem cells 2014 · 422 citations
4220+4+8Years since publication100200300400

Peers

Jonathan C. Howell
Comparison fields: 5 of 97
  • Oncology 452
  • Genetics 156
  • Cardiology and Cardiovascular Medicine 225
  • Molecular Biology 663
  • Genetics 259
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Constança Figueiredo Germany
Iris Bittmann Germany
Hiroyuki Maeda Japan
Paola Francalanci Italy
William J. Zacharias United States
Masahiro Masuya Japan
Jaroslav Michálek Czechia
Andreas Tiede Germany
Jenny M. Karlsson United States
Tomokazu Ohnishi Japan
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Citations per year

Countries citing papers authored by Jonathan C. Howell

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan C. Howell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan C. Howell. 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 Jonathan C. Howell. The network helps show where Jonathan C. Howell may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
An in vivo model of human small intestine using pluripotent stem cells
Hit paper breakdown →
2014422
2 2011335
3 2015214
4 2017186
5 2016100
6 200359
7 201551
8 200541
9 200235
10 201126
11 201624
12 201822
13 200214
14 201412
15 20198
16 20197
17 20237
18 20214
19 20033
20 20213

About Jonathan C. Howell

Jonathan C. Howell is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Pediatrics, Perinatology and Child Health, Surgery and Genetics, having authored 25 papers that have together received 1.6k indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (7 papers), Tissue Engineering and Regenerative Medicine (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Mesenchymal stem cell research (5 papers), Pregnancy and Medication Impact (4 papers), Digestive system and related health (4 papers), Childhood Cancer Survivors' Quality of Life (4 papers) and Pharmacological Effects and Toxicity Studies (3 papers). The work is most often cited by research in Oncology (452 citations), Genetics (156 citations), Cardiology and Cardiovascular Medicine (225 citations), Molecular Biology (663 citations) and Genetics (259 citations). Jonathan C. Howell has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include James M. Wells, Jason R. Spence, Kyle W. McCracken, Carey L. Watson, Maxime M. Mahé, Jorge O. Múnera, Michael A. Helmrath, Jefferson E. Vallance, Noah F. Shroyer and Mervin C. Yöder. Their work appears in journals such as Biology of Blood and Marrow Transplantation, Transplantation and Cellular Therapy, Cell stem cell, Annals of the New York Academy of Sciences and Pediatric Blood & Cancer.

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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