Marva Maya

715 citations
8 papers · 564 · h-index 7

Impact in

  • Genetics top 10%
    • Glioma Diagnosis and Treatment
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Lung Cancer Research Studies

Papers in

Marva Maya

8 papers receiving 556 citations

Peers

Marva Maya
Comparison fields: 5 of 71
  • Genetics 109
  • Oncology 236
  • Pulmonary and Respiratory Medicine 230
  • Cancer Research 99
  • Neurology 38
Replace Jang-Seong Kim with:
Jang-Seong Kim United States
Khadijeh Bijangi‐Vishehsaraei United States
Fahao Zhang United States
Norma Alejandra Chasseing Argentina
Satoshi Kiyama Japan
Yukuan Feng China
Weiming Yue China
Lauren Schaff United States
Emily C. Brantley United States
Esteban Fiore Argentina
Marva Maya relative to Jang-Seong Kim United States Jang-Seong Kim's profile →
Citations per field
00.5×1.5×1.8×
Jang-Seong Kim · 1×
Citations per year

Countries citing papers authored by Marva Maya

Since Specialization
Citations

This map shows the geographic impact of Marva Maya'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 Marva Maya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marva Maya more than expected).

Fields of papers citing papers by Marva Maya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marva Maya. 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 Marva Maya. The network helps show where Marva Maya may publish in the future.

Co-authors

The 25 scholars most cited alongside Marva Maya, 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 Marva Maya Line = papers co-authored together Marva Maya links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 2011200
2 2009118
3 200675
4 201058
5 201144
6 201143
7 200623
8 20103

About Marva Maya

Marva Maya is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Immunology and Oncology, having authored 8 papers that have together received 564 indexed citations. Recurring topics across this work include Cancer, Hypoxia, and Metabolism (3 papers), Angiogenesis and VEGF in Cancer (3 papers), Immune cells in cancer (3 papers), Prostate Cancer Treatment and Research (2 papers), Chemokine receptors and signaling (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Fibroblast Growth Factor Research (1 paper) and Inflammatory Biomarkers in Disease Prognosis (1 paper). The work is most often cited by research in Genetics (109 citations), Oncology (236 citations), Pulmonary and Respiratory Medicine (230 citations), Cancer Research (99 citations) and Neurology (38 citations). Marva Maya has collaborated with scholars based in United States, Australia and Switzerland. Frequent co-authors include Isaiah J. Fidler, Dominic Fan, Seung Wook Kim, Robert R. Langley, Sun-Jin Kim, Junqin He, Lin Q, John Papadopoulos, Fahao Zhang and Jang-Seong Kim. Their work appears in journals such as Neoplasia, JNCI Journal of the National Cancer Institute, The Prostate, Translational Oncology and International Immunopharmacology.

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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