Stephen Baird

6.1k citations
48 papers · 4.1k indexed · 2 hit papers · h-index 25

Stephen Baird

46 papers receiving 4.0k citations

Hit Papers

The inhibitors of apoptosis (IAPs) and their emerging rol...8371996202620062016250500750

Peers

Stephen Baird
Comparison fields: 5 of 118
  • Molecular Biology 3.2k
  • Cancer Research 522
  • Immunology 595
  • Biotechnology 227
  • Oncology 621
Replace Joshua C. Goldstein with:
Joshua C. Goldstein United States
Maria Laura Avantaggiati United States
John C. Reed United States
Elizabeth A. Slee United Kingdom
Andrea J. Ross United States
Chunying Du United States
Abelardo López‐Rivas Spain
Oleksi Petrenko United States
Koichi Honke Japan
Paolo Salomoni United Kingdom
Stephen Baird relative to Joshua C. Goldstein United States Joshua C. Goldstein's profile →
Citations per field
00.5×1.5×2.1×
Joshua C. Goldstein · 1×
Citations per year

Countries citing papers authored by Stephen Baird

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Baird

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20235
2 202117
3 201912
4 20183
5 201795
6 201634
7 201616
8 2015105
9 20144
10 201124
11 200949
12 2008397
13 200762
14 2006240
15 200557
16
The inhibitors of apoptosis (IAPs) and their emerging role in cancerbreakdown →
1998837
17 19975
18 19934
19 1992121
20 199077

About Stephen Baird

Stephen Baird is a scholar working on Molecular Biology, Biotechnology, Cancer Research, Genetics and Clinical Biochemistry, having authored 48 papers that have together received 4.1k indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (8 papers), RNA and protein synthesis mechanisms (7 papers), Cell death mechanisms and regulation (6 papers), CRISPR and Genetic Engineering (5 papers), RNA regulation and disease (5 papers), RNA Research and Splicing (5 papers), Virus-based gene therapy research (4 papers) and Genetic Neurodegenerative Diseases (4 papers). The work is most often cited by research in Molecular Biology (3.2k citations), Cancer Research (522 citations), Immunology (595 citations), Biotechnology (227 citations) and Oncology (621 citations). Stephen Baird has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Robert G. Korneluk, Eric C. LaCasse, Alex MacKenzie, Martin Holčı́k, Charles Lefebvre, Reza Mastery Farahani, Katsuyuki Tamai, Michael D. McLean, Natalie Roy and Marcel Turcotte. Their work appears in journals such as Genomics, Oncogene, Nucleic Acids Research, Science Signaling and Cell Death and Disease.

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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