John M. Cunningham

137 papers receiving 6.8k citations

John M. Cunningham's Hit Papers

Adenovirus-Associated Virus Vector–Mediated Gene Transfer in Hemophilia B 2011 · 1.5k citations
1.5k0+5+10Years since publication50010001.5k

Peers

John M. Cunningham
Comparison fields: 5 of 132
  • Geriatrics and Gerontology 398
  • Hematology 1.1k
  • Genetics 748
  • Genetics 1.7k
  • Molecular Biology 3.8k
Replace Olaia Naveiras with:
Olaia Naveiras Switzerland
Jun Seita United States
Troy C. Lund United States
David Bryder Sweden
Gerald de Haan Netherlands
Wojtek Auerbach United States
Minetaro Ogawa Japan
Ada Funaro Italy
Jun Cheng China
Choy‐Pik Chiu United States
John M. Cunningham relative to Olaia Naveiras Switzerland Olaia Naveiras's profile →
Citations per field
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Olaia Naveiras · 1×
Citations per year

Countries citing papers authored by John M. Cunningham

Since Specialization
Citations

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

Fields of papers citing papers by John M. Cunningham

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 148 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Adenovirus-Associated Virus Vector–Mediated Gene Transfer in Hemophilia B
Hit paper breakdown →
20111544
2 2009444
3 2012416
4 2011294
5 2005256
6 1999203
7 2010163
8 2003158
9 1997146
10 2011142
11 2002129
12 2012129
13 2010108
14 2006104
15 1995102
16 199799
17 200897
18 199388
19 198786
20 200382

About John M. Cunningham

John M. Cunningham is a scholar working on Hematology, Genetics, Molecular Biology, Neurology and Surgery, having authored 148 papers that have together received 7.0k indexed citations. Recurring topics across this work include Cancer-related gene regulation (19 papers), Hematopoietic Stem Cell Transplantation (17 papers), Hemoglobinopathies and Related Disorders (14 papers), Epigenetics and DNA Methylation (14 papers), RNA modifications and cancer (11 papers), Kruppel-like factors research (10 papers), Genomics and Chromatin Dynamics (10 papers) and Acute Myeloid Leukemia Research (10 papers). The work is most often cited by research in Geriatrics and Gerontology (398 citations), Hematology (1.1k citations), Genetics (748 citations), Genetics (1.7k citations) and Molecular Biology (3.8k citations). John M. Cunningham has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Stephen M. Jane, Tomasz Wilanowski, Stephen B. Ting, Vishwas Parekh, Arthur W. Nienhuis, Loretta Cerruti, Alana Auden, Jacinta Caddy, Prabhakaran Vasudevan and Quan Zhao. Their work appears in journals such as Blood, Molecular and Cellular Biology, Journal of Biological Chemistry, Bone Marrow Transplantation and Transplantation and Cellular Therapy.

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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