Martin J. Shea

4.2k citations
22 papers · 3.1k indexed · 3 hit papers · h-index 12
Topics
HER2/EGFR in Cancer Research (6 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Developmental Biology and Gene Regulation (5 papers)

In The Last Decade

Martin J. Shea

21 papers receiving 3.0k citations

Hit Papers

Mouse Wnt genes exhibit discrete domains of expression in...1993202620042015199319991994200400600

Peers

Martin J. Shea
Comparison fields: 5 of 116
  • Molecular Biology 2.4k
  • Genetics 563
  • Biomedical Engineering 331
  • Cellular and Molecular Neuroscience 294
  • Electronic, Optical and Magnetic Materials 230
Replace Bo Gao with:
Bo Gao China
Daniel P. Szeto United States
Benjamin Feldman United States
Carole LaBonne United States
Ching-Pin Chang United States
Benjamin D. Mangum United States
John Shih United States
Alexandra Schambony Germany
Zheng‐Yi Chen United States
Laurent Kodjabachian France
Martin J. Shea relative to Bo Gao China Bo Gao's profile →
Citations per field
00.5×7.9×
Bo Gao · 1×
Citations per year

Countries citing papers authored by Martin J. Shea

Since Specialization
Citations

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

Fields of papers citing papers by Martin J. Shea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Martin J. Shea. 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 Martin J. Shea. The network helps show where Martin J. Shea may publish in the future.

Co-authorship network of co-authors of Martin J. Shea

This figure shows the co-authorship network connecting the top 25 collaborators of Martin J. Shea. A scholar is included among the top collaborators of Martin J. Shea 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 Martin J. Shea. Martin J. Shea 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 2
2 8
3 16
4 1
5 3
6 10
7 1
8 43
9 1
10 39
11 71
12 151
13 327
14 77
15
Requirement for Wnt3 in vertebrate axis formationbreakdown →
710
16 34
17 11
18
Mouse Wnt genes exhibit discrete domains of expression in the early embryonic CNS and limb budsbreakdown →
711
19 196
20 1

About Martin J. Shea

Martin J. Shea is a scholar working on Oncology, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 22 papers that have together received 3.1k indexed citations. Recurring topics across this work include HER2/EGFR in Cancer Research (6 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Developmental Biology and Gene Regulation (5 papers). The work is most often cited by research in Molecular Biology (2.4k citations), Developmental Neuroscience (120 citations) and Developmental Biology (52 citations). Martin J. Shea has collaborated with scholars based in United States, Greece and United Kingdom. Frequent co-authors include Galya Vassileva, Andrew P. McMahon, Brian A. Parr, Allan Bradley, Maki Wakamiya, Richard R. Behringer, Pentao Liu, Urs Albrecht, Jill A. McMahon and Kevin L. Stark. Their work appears in journals such as Nature Genetics, Genes & Development and ACS Nano.

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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