Mayra Nelman‐Gonzalez

2.2k citations
34 papers · 766 indexed · h-index 14

Mayra Nelman‐Gonzalez

31 papers receiving 755 citations

Peers

Mayra Nelman‐Gonzalez
Comparison fields: 5 of 112
  • Aging 24
  • Physiology 310
  • Cell Biology 126
  • Endocrinology 23
  • Aerospace Engineering 110
Replace Zizhong Liu with:
Zizhong Liu China
Toru Shimazu Japan
А. В. Морозов Russia
Anna Fogtman Poland
Julie A. Dragon United States
Watanabe Japan
Ron Balczon United States
Ming Zhu China
Grace D. Moore United States
Danielle Smith United States
Mayra Nelman‐Gonzalez relative to Zizhong Liu China Zizhong Liu's profile →
Citations per field
00.5×3.9×
Zizhong Liu · 1×
Citations per year

Countries citing papers authored by Mayra Nelman‐Gonzalez

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 25 scholars most cited alongside Mayra Nelman‐Gonzalez, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Mayra Nelman‐Gonzalez Line = papers co-authored together Mayra Nelman‐Gonzalez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20242
3 20240
4 20245
5 20234
6 20234
7 20231
8 202225
9 202110
10 20196
11 201736
12 201364
13
Transcriptional and physiological characterization of Escherichia coli K12 MG1655 grown under low shear simulated microgravity for 1000 generation
20101
14 200832
15 2007109
16 200683
17
Desert Varnish -- Preservation of Biofabrics and Implications for Mars
200212
18 199943
19 199721
20 199715

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), Space Exploration and Technology (4 papers), Planetary Science and Exploration (3 papers), Microtubule and mitosis dynamics (3 papers), High Altitude and Hypoxia (3 papers), Fibromyalgia and Chronic Fatigue Syndrome Research (2 papers) and Legionella and Acanthamoeba research (2 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 Life Sciences in Space Research, FEBS Letters, International Journal of Molecular Sciences, Medicine & Science in Sports & Exercise 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.

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