Bob Monks
Impact in
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- Protist diversity and phylogeny
- RNA Research and Splicing
- PI3K/AKT/mTOR signaling in cancer
- RNA modifications and cancer
- Genomics and Chromatin Dynamics
- Biochemistry top 10%
Papers in
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- PI3K/AKT/mTOR signaling in cancer 2
- CRISPR and Genetic Engineering 2
- Viral Infectious Diseases and Gene Expression in Insects 1
- DNA Repair Mechanisms 1
- Melanoma and MAPK Pathways 1
- Genetics 3
- Genetic Syndromes and Imprinting 1
- Animal Genetics and Reproduction 1
- Hemoglobinopathies and Related Disorders 1
- Co-authors
- Morris J. Birnbaum (3 shared papers)Stephen A. Liebhaber (2 shared papers)Nancy E. Cooke (1 shared paper)Beverly K. Jones (1 shared paper)Meng-Chao Yao (1 shared paper)Ching-Ho Yao (1 shared paper)Lisa M. DiPilato (2 shared papers)Janet A. Sawicki (3 shared papers)
- Journals
- Molecular and Cellular Biology (3 papers)BioTechniques (1 paper)Neuron (1 paper)Cell (1 paper)Brain Research (1 paper)
- Partner nations
- United StatesJapan
In The Last Decade
Bob Monks
11 papers receiving 812 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 524
- Biochemistry 50
- Endocrinology, Diabetes and Metabolism 102
- Physiology 137
- Aging 9
Countries citing papers authored by Bob Monks
This map shows the geographic impact of Bob Monks'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 Bob Monks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bob Monks more than expected).
Fields of papers citing papers by Bob Monks
This network shows the impact of papers produced by Bob Monks. 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 Bob Monks. The network helps show where Bob Monks may publish in the future.
Co-authors
The 25 scholars most cited alongside Bob Monks, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 179 | |
| 2 | 2002 | 176 | |
| 3 | 1995 | 146 | |
| 4 | 1990 | 111 | |
| 5 | 1998 | 68 | |
| 6 | 1996 | 55 | |
| 7 | 1992 | 29 | |
| 8 | Elements in the murine c-mos messenger RNA 5'-untranslated region repress translation of downstream coding sequences. | 1996 | 25 |
| 9 | 2015 | 23 | |
| 10 | 1998 | 18 | |
| 11 | 2005 | 1 |
About Bob Monks
Bob Monks is a scholar working on Molecular Biology, Genetics, Surgery, Genetics and Cellular and Molecular Neuroscience, having authored 11 papers that have together received 831 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (2 papers), CRISPR and Genetic Engineering (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), DNA Repair Mechanisms (1 paper), Genetic Syndromes and Imprinting (1 paper), Animal Genetics and Reproduction (1 paper), Melanoma and MAPK Pathways (1 paper) and Hemoglobinopathies and Related Disorders (1 paper). The work is most often cited by research in Molecular Biology (524 citations), Biochemistry (50 citations), Endocrinology, Diabetes and Metabolism (102 citations), Physiology (137 citations) and Aging (9 citations). Bob Monks has collaborated with scholars based in United States and Japan. Frequent co-authors include Morris J. Birnbaum, Stephen A. Liebhaber, Nancy E. Cooke, Beverly K. Jones, Meng-Chao Yao, Ching-Ho Yao, Lisa M. DiPilato, Janet A. Sawicki, David Tucker and Ben Margolis. Their work appears in journals such as Molecular and Cellular Biology, BioTechniques, Neuron, Cell and Brain Research.
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.