Arthur Gutierrez‐Hartmann
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- Growth Hormone and Insulin-like Growth Factors 35
- Pituitary Gland Disorders and Treatments 11
- Cancer Research top 5%
- Molecular Biology top 5%
- Protein Kinase Regulation and GTPase Signaling 14
- Genomics and Chromatin Dynamics 10
- TGF-β signaling in diseases 7
- RNA Research and Splicing 7
- Ubiquitin and proteasome pathways 6
- Immunology and Allergy top 5%
- Oncology top 10%
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- Estrogen and related hormone effects 9
- Co-authors
- Bohdan WasylykJames HagmanAndrew P. BradfordChristine WasylykAdwitiya KarDawn L. DuvalScott E. DiamondJohn J. Tentler
- Journals
- Proceedings of the National Academy of Sciences (2 papers)Nucleic Acids Research (2 papers)Journal of Biological Chemistry (9 papers)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Arthur Gutierrez‐Hartmann
79 papers receiving 2.8k citations
Peers
Comparison fields: 5 of 101
- Endocrinology, Diabetes and Metabolism 723
- Cancer Research 497
- Molecular Biology 1.8k
- Immunology and Allergy 99
- Oncology 419
Countries citing papers authored by Arthur Gutierrez‐Hartmann
This map shows the geographic impact of Arthur Gutierrez‐Hartmann'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 Arthur Gutierrez‐Hartmann with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arthur Gutierrez‐Hartmann more than expected).
Fields of papers citing papers by Arthur Gutierrez‐Hartmann
This network shows the impact of papers produced by Arthur Gutierrez‐Hartmann. 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 Arthur Gutierrez‐Hartmann. The network helps show where Arthur Gutierrez‐Hartmann may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Arthur Gutierrez‐Hartmann, 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 | 2020 | 18 | |
| 2 | 2019 | 18 | |
| 3 | 2017 | 33 | |
| 4 | 2015 | 27 | |
| 5 | 2014 | 13 | |
| 6 | 2012 | 20 | |
| 7 | 2011 | 17 | |
| 8 | 2009 | 10 | |
| 9 | 2003 | 43 | |
| 10 | 2001 | 7 | |
| 11 | 2000 | 50 | |
| 12 | 2000 | 23 | |
| 13 | 1998 | 431 | |
| 14 | 1996 | 22 | |
| 15 | 1995 | 19 | |
| 16 | 1993 | 11 | |
| 17 | 1991 | 18 | |
| 18 | 1990 | 25 | |
| 19 | 1989 | 19 | |
| 20 | 1987 | 4 |
About Arthur Gutierrez‐Hartmann
Arthur Gutierrez‐Hartmann is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Cancer Research, having authored 79 papers that have together received 2.8k indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (35 papers), Protein Kinase Regulation and GTPase Signaling (14 papers), Pituitary Gland Disorders and Treatments (11 papers), Genomics and Chromatin Dynamics (10 papers), Estrogen and related hormone effects (9 papers), TGF-β signaling in diseases (7 papers), RNA Research and Splicing (7 papers) and Ubiquitin and proteasome pathways (6 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (723 citations), Cancer Research (497 citations) and Molecular Biology (1.8k citations). Arthur Gutierrez‐Hartmann has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Bohdan Wasylyk, James Hagman, Andrew P. Bradford, Christine Wasylyk, Adwitiya Kar, Dawn L. Duval, Scott E. Diamond, John J. Tentler, Paul Jedlicka and David F. Gordon. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.
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.