Stephen G. Maher

2.3k citations
55 papers · 1.9k · h-index 20

Impact in

    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research
  • Immunology top 5%
    • Immune Cell Function and Interaction
    • interferon and immune responses
    • Immunotherapy and Immune Responses

Papers in

    • Cancer Immunotherapy and Biomarkers 9
    • Pancreatic and Hepatic Oncology Research 7
    • Esophageal Cancer Research and Treatment 17

Stephen G. Maher

52 papers receiving 1.9k citations

Peers

Stephen G. Maher
Comparison fields: 5 of 104
  • Cancer Research 568
  • Immunology 482
  • Oncology 457
  • Molecular Biology 738
  • Internal Medicine 22
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Ge Jin China
Breanna M. Allen United States
Min Xu China
Wilfred W. Raymond United States
Nunzia Montuori Italy
Satoshi Takaki Japan
Shinji Okano Japan
Ryouichi Horie Japan
Renren Wen United States
Stephen G. Maher relative to Ge Jin China Ge Jin's profile →
Citations per field
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Citations per year

Countries citing papers authored by Stephen G. Maher

Since Specialization
Citations

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

Fields of papers citing papers by Stephen G. Maher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen G. Maher. 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 Stephen G. Maher. The network helps show where Stephen G. Maher may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008348
2 2009248
3 2008135
4 2002131
5 2007129
6 201288
7 201479
8 201066
9 201253
10 201153
11 200949
12 200448
13 201737
14 201637
15 202233
16 201533
17 201833
18 200728
19 201628
20 201226

About Stephen G. Maher

Stephen G. Maher is a scholar working on Oncology, Surgery, Cancer Research, Molecular Biology and Immunology, having authored 55 papers that have together received 1.9k indexed citations. Recurring topics across this work include Esophageal Cancer Research and Treatment (17 papers), MicroRNA in disease regulation (10 papers), Cancer Immunotherapy and Biomarkers (9 papers), Pancreatic and Hepatic Oncology Research (7 papers), Circular RNAs in diseases (6 papers), Cancer-related molecular mechanisms research (5 papers), Lung Cancer Treatments and Mutations (5 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Cancer Research (568 citations), Immunology (482 citations), Oncology (457 citations), Molecular Biology (738 citations) and Internal Medicine (22 citations). Stephen G. Maher has collaborated with scholars based in Ireland, Canada and United Kingdom. Frequent co-authors include John V. Reynolds, Niamh Lynam‐Lennon, Catriona Miller, Howard A. Young, Anthony J. Scarzello, Ana M. Gamero, Ana L. Romero-Weaver, Claire Condron, Deirdre Toomey and David Bouchier–Hayes. Their work appears in journals such as Translational Oncology, Scientific Reports, Cancer Letters, Annals of Surgery and PLoS ONE.

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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