Ellen R. Laird
Impact in
- Organic Chemistry top 5%
- Synthesis and biological activity
-
- Computational Drug Discovery Methods
Papers in
-
- Melanoma and MAPK Pathways 11
- Protein Kinase Regulation and GTPase Signaling 10
- Chemical Synthesis and Analysis 5
- Co-authors
- William L. Jorgensen (5 shared papers)Julian Tirado‐Rives (1 shared paper)Toan B. Nguyen (1 shared paper)Mary K. Ram (2 shared papers)Marcos Hatada (2 shared papers)Jeremy Green (1 shared paper)Kelly Theriault (2 shared papers)Xiaode Lu (1 shared paper)
- Journals
- Bioorganic & Medicinal Chemistry Letters (17 papers)Journal of Medicinal Chemistry (3 papers)Biochemistry (2 papers)Nature (2 papers)Molecular Cancer Therapeutics (1 paper)
- Partner nations
- United StatesCanadaJapan
In The Last Decade
Ellen R. Laird
33 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 98
- Organic Chemistry 464
- Computational Theory and Mathematics 187
- Molecular Biology 597
- Immunology 181
- Cancer Research 126
Countries citing papers authored by Ellen R. Laird
This map shows the geographic impact of Ellen R. Laird'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 Ellen R. Laird with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ellen R. Laird more than expected).
Fields of papers citing papers by Ellen R. Laird
This network shows the impact of papers produced by Ellen R. Laird. 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 Ellen R. Laird. The network helps show where Ellen R. Laird may publish in the future.
Co-authors
The 25 scholars most cited alongside Ellen R. Laird, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1995 | 285 | |
| 2 | 1993 | 158 | |
| 3 | 1990 | 86 | |
| 4 | 2007 | 74 | |
| 5 | 2003 | 70 | |
| 6 | 1990 | 58 | |
| 7 | 2008 | 57 | |
| 8 | 2011 | 50 | |
| 9 | 2010 | 38 | |
| 10 | 2009 | 36 | |
| 11 | 1999 | 31 | |
| 12 | 2004 | 30 | |
| 13 | 2000 | 30 | |
| 14 | 2012 | 27 | |
| 15 | 2010 | 26 | |
| 16 | 2013 | 24 | |
| 17 | 2011 | 23 | |
| 18 | 2010 | 22 | |
| 19 | 2001 | 18 | |
| 20 | 2002 | 18 |
About Ellen R. Laird
Ellen R. Laird is a scholar working on Molecular Biology, Organic Chemistry, Oncology, Pathology and Forensic Medicine and Computational Theory and Mathematics, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Melanoma and MAPK Pathways (11 papers), Protein Kinase Regulation and GTPase Signaling (10 papers), Peptidase Inhibition and Analysis (6 papers), Chemical Synthesis and Analysis (5 papers), Computational Drug Discovery Methods (4 papers), Protease and Inhibitor Mechanisms (4 papers), Cancer Mechanisms and Therapy (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Organic Chemistry (464 citations), Computational Theory and Mathematics (187 citations), Molecular Biology (597 citations), Immunology (181 citations) and Cancer Research (126 citations). Ellen R. Laird has collaborated with scholars based in United States, Canada and Japan. Frequent co-authors include William L. Jorgensen, Julian Tirado‐Rives, Toan B. Nguyen, Mary K. Ram, Marcos Hatada, Jeremy Green, Kelly Theriault, Xiaode Lu, Jennifer L. Karas and Meizhen Lou. Their work appears in journals such as Bioorganic & Medicinal Chemistry Letters, Journal of Medicinal Chemistry, Biochemistry, Nature and Molecular Cancer Therapeutics.
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.