Mayra Nelman‐Gonzalez
- Physiology top 10%
- Molecular Biology
- Cell Biology top 10%
- Aerospace Engineering top 10%
- Genetics
- Co-authors
- C. Mark OttCheryl A. NickersonSarah CastroJian KuangDuane L. PiersonShaoli CheGuangan HeCheryl L. Ashorn
- Topics
- Spaceflight effects on biology (16 papers)Exercise and Physiological Responses (6 papers)Space Exploration and Technology (4 papers)
- Cited by
- AgingPhysiologyCell Biology
- Journals
- CellJournal of Biological ChemistrySHILAP Revista de lepidopterología
- Partner nations
- United StatesGermanyIreland
In The Last Decade
Mayra Nelman‐Gonzalez
31 papers receiving 755 citations
Peers
Comparison fields: 5 of 112
- Physiology 310
- Molecular Biology 280
- Cell Biology 126
- Aerospace Engineering 110
- Genetics 91
Countries citing papers authored by Mayra Nelman‐Gonzalez
This map shows the geographic impact of Mayra Nelman‐Gonzalez'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 Mayra Nelman‐Gonzalez with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mayra Nelman‐Gonzalez more than expected).
Fields of papers citing papers by Mayra Nelman‐Gonzalez
This network shows the impact of papers produced by Mayra Nelman‐Gonzalez. 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 Mayra Nelman‐Gonzalez. The network helps show where Mayra Nelman‐Gonzalez may publish in the future.
Co-authorship network of co-authors of Mayra Nelman‐Gonzalez
This figure shows the co-authorship network connecting the top 25 collaborators of Mayra Nelman‐Gonzalez. A scholar is included among the top collaborators of Mayra Nelman‐Gonzalez based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mayra Nelman‐Gonzalez. Mayra Nelman‐Gonzalez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 0 | |
| 4 | 5 | |
| 5 | 4 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 25 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 36 | |
| 12 | 64 | |
| 13 | Transcriptional and physiological characterization of Escherichia coli K12 MG1655 grown under low shear simulated microgravity for 1000 generation | 1 |
| 14 | 32 | |
| 15 | 109 | |
| 16 | 83 | |
| 17 | Desert Varnish -- Preservation of Biofabrics and Implications for Mars | 12 |
| 18 | 43 | |
| 19 | 21 | |
| 20 | 15 |
About Mayra Nelman‐Gonzalez
Mayra Nelman‐Gonzalez is a scholar working on Rehabilitation, Endocrinology and Physiology, having authored 34 papers that have together received 766 indexed citations. Recurring topics across this work include Spaceflight effects on biology (16 papers), Exercise and Physiological Responses (6 papers) and Space Exploration and Technology (4 papers). The work is most often cited by research in Aging (24 citations), Physiology (310 citations) and Cell Biology (126 citations). Mayra Nelman‐Gonzalez has collaborated with scholars based in United States, Germany and Ireland. Frequent co-authors include C. Mark Ott, Cheryl A. Nickerson, Sarah Castro, Jian Kuang, Duane L. Pierson, Shaoli Che, Guangan He, Cheryl L. Ashorn, Brian Crucian and P. Todd Stukenberg. Their work appears in journals such as Cell, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.
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.