E. Nieves
Impact in
- Immunology top 10%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Immune Response and Inflammation
- Clinical Biochemistry top 5%
- Metabolism and Genetic Disorders
Papers in
-
- Amino Acid Enzymes and Metabolism 4
- Co-authors
- Craig T. Morita (2 shared papers)Susumu Sano (1 shared paper)Gennaro De Libero (1 shared paper)Daniela Santoro Rosa (1 shared paper)Barry R. Bloom (1 shared paper)Michael B. Brenner (1 shared paper)Robert L. Modlin (1 shared paper)Yoshimasa Tanaka (1 shared paper)
- Journals
- Journal of Biological Chemistry (5 papers)Blood Cancer Journal (1 paper)Proceedings of the National Academy of Sciences (1 paper)AIDS Patient Care and STDs (1 paper)Biochimica et Biophysica Acta (BBA) - General Subjects (1 paper)
- Partner nations
- United StatesBelgiumSwitzerland
In The Last Decade
E. Nieves
15 papers receiving 817 citations
Peers
Comparison fields: 5 of 94
- Immunology 373
- Clinical Biochemistry 71
- Biochemistry 59
- Nutrition and Dietetics 80
- Oncology 139
Countries citing papers authored by E. Nieves
This map shows the geographic impact of E. Nieves'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 E. Nieves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Nieves more than expected).
Fields of papers citing papers by E. Nieves
This network shows the impact of papers produced by E. Nieves. 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 E. Nieves. The network helps show where E. Nieves may publish in the future.
Co-authors
The 25 scholars most cited alongside E. Nieves, 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 | 1994 | 330 | |
| 2 | 1987 | 105 | |
| 3 | 2007 | 78 | |
| 4 | 2017 | 70 | |
| 5 | 1988 | 57 | |
| 6 | 1993 | 54 | |
| 7 | 2012 | 49 | |
| 8 | 1992 | 33 | |
| 9 | 2015 | 16 | |
| 10 | 1999 | 11 | |
| 11 | 2023 | 10 | |
| 12 | Short-term metabolic fate of L-[13N]glutamate in the Walker 256 carcinosarcoma in vivo. | 1990 | 9 |
| 13 | 1998 | 3 | |
| 14 | 2006 | 2 | |
| 15 | 1993 | 2 |
About E. Nieves
E. Nieves is a scholar working on Biochemistry, Molecular Biology, Cancer Research, Materials Chemistry and Pediatrics, Perinatology and Child Health, having authored 15 papers that have together received 829 indexed citations. Recurring topics across this work include Amino Acid Enzymes and Metabolism (4 papers), Enzyme Structure and Function (3 papers), Metabolism and Genetic Disorders (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Drug Transport and Resistance Mechanisms (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Immunology (373 citations), Clinical Biochemistry (71 citations), Biochemistry (59 citations), Nutrition and Dietetics (80 citations) and Oncology (139 citations). E. Nieves has collaborated with scholars based in United States, Belgium and Switzerland. Frequent co-authors include Craig T. Morita, Susumu Sano, Gennaro De Libero, Daniela Santoro Rosa, Barry R. Bloom, Michael B. Brenner, Robert L. Modlin, Yoshimasa Tanaka, Arthur J.L. Cooper and Alan S. Gelbard. Their work appears in journals such as Journal of Biological Chemistry, Blood Cancer Journal, Proceedings of the National Academy of Sciences, AIDS Patient Care and STDs and Biochimica et Biophysica Acta (BBA) - General Subjects.
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.