Alexis Ramos

1.9k total citations
10 papers, 771 citations indexed

About

Alexis Ramos is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Alexis Ramos has authored 10 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Plant Science and 4 papers in Genetics. Recurrent topics in Alexis Ramos's work include Cancer, Hypoxia, and Metabolism (3 papers), Plant Molecular Biology Research (3 papers) and Plant Reproductive Biology (3 papers). Alexis Ramos is often cited by papers focused on Cancer, Hypoxia, and Metabolism (3 papers), Plant Molecular Biology Research (3 papers) and Plant Reproductive Biology (3 papers). Alexis Ramos collaborates with scholars based in United States, Israel and Sweden. Alexis Ramos's co-authors include Esther van der Knaap, Ke Jiang, Zachary H. Lemmon, Soon Ju Park, Dani Zamir, Joyce Van Eck, Josef Fisher, Yuval Eshed, Katie L. Liberatore and Zachary B. Lippman and has published in prestigious journals such as Cell, Journal of Clinical Oncology and Cancer Research.

In The Last Decade

Alexis Ramos

9 papers receiving 753 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Alexis Ramos United States	6	480	363	288	23	21	10	771
Jia Ding Germany	15	668 1.4×	568 1.6×	187 0.6×	46 2.0×	9 0.4×	19	979
Mimoza Hoti United Kingdom	6	145 0.3×	278 0.8×	173 0.6×	9 0.4×	5 0.2×	7	508
Jiangyan Yu United States	12	401 0.8×	151 0.4×	168 0.6×	56 2.4×	11 0.5×	19	582
Jean-Philippe Pichon France	12	602 1.3×	439 1.2×	197 0.7×	17 0.7×	3 0.1×	15	824
Tieqiang Hu United States	14	871 1.8×	809 2.2×	32 0.1×	35 1.5×	5 0.2×	16	1.1k
Xuelei Lin China	13	496 1.0×	352 1.0×	112 0.4×	33 1.4×	5 0.2×	30	660
Y. Ban Japan	7	410 0.9×	256 0.7×	188 0.7×	118 5.1×	6 0.3×	13	604
Anna Samelak-Czajka Poland	11	231 0.5×	215 0.6×	106 0.4×	14 0.6×	3 0.1×	17	423
Guiyu Zhu China	13	371 0.8×	281 0.8×	160 0.6×	10 0.4×		27	690
Lijuan Qi China	13	741 1.5×	492 1.4×	23 0.1×	12 0.5×	6 0.3×	26	901

Countries citing papers authored by Alexis Ramos

Since Specialization

Citations

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

Fields of papers citing papers by Alexis Ramos

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexis Ramos

This figure shows the co-authorship network connecting the top 25 collaborators of Alexis Ramos. A scholar is included among the top collaborators of Alexis Ramos 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 Alexis Ramos. Alexis Ramos is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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10 of 10 papers shown

1.

Smith, Matthew G., et al.. (2025). Abstract 7249: TME hypoxia drives immunopeptidomic deficiencies in non-small cell lung cancer by blocking translation of interferon stimulated genes within the MHC I pathway. Cancer Research. 85(8_Supplement_1). 7249–7249.

2.

Smith, Matthew G., et al.. (2025). Abstract 7250: Extracellular acidity in the TME interferes with the IFN-γ induction of the immunoproteasome. Cancer Research. 85(8_Supplement_1). 7250–7250. 1 indexed citations

3.

Coleman, Michael F., Eylem Kulkoyluoglu‐Cotul, Emily N. Devericks, et al.. (2024). Hypoxia-mediated repression of pyruvate carboxylase drives immunosuppression. Breast Cancer Research. 26(1). 96–96. 1 indexed citations

4.

Pereira, Lara, et al.. (2021). Unraveling the genetics of tomato fruit weight during crop domestication and diversification. Theoretical and Applied Genetics. 134(10). 3363–3378. 18 indexed citations

5.

Ramos, Alexis, et al.. (2020). QTL-seq for identification of loci associated with resistance to Phytophthora crown rot in squash. Scientific Reports. 10(1). 5326–5326. 31 indexed citations

6.

Razifard, Hamid, Alexis Ramos, Xiang Li, et al.. (2019). Genomic Evidence for Complex Domestication History of the Cultivated Tomato in Latin America. Molecular Biology and Evolution. 37(4). 1118–1132. 131 indexed citations

7.

Mu, Qi, Zejun Huang, Manohar Chakrabarti, et al.. (2017). Fruit weight is controlled by Cell Size Regulator encoding a novel protein that is expressed in maturing tomato fruits. PLoS Genetics. 13(8). e1006930–e1006930. 127 indexed citations

8.

Soyk, Sebastian, Zachary H. Lemmon, Josef Fisher, et al.. (2017). Bypassing Negative Epistasis on Yield in Tomato Imposed by a Domestication Gene. Cell. 169(6). 1142–1155.e12. 236 indexed citations

9.

Allen, Eliezer M. Van, Nikhil Wagle, Gregory V. Kryukov, et al.. (2012). A heuristic platform for clinical interpretation of cancer genome sequencing data.. Journal of Clinical Oncology. 30(15_suppl). 10502–10502. 3 indexed citations

10.

Price, Alkes L., Johannah L. Butler, Cristian Capelli, et al.. (2008). Discerning the Ancestry of European Americans in Genetic Association Studies. PLoS Genetics. 4(1). e236–e236. 223 indexed citations

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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