Benny Weiss‐Steider

1.3k total citations
78 papers, 997 citations indexed

About

Benny Weiss‐Steider is a scholar working on Immunology, Oncology and Molecular Biology. According to data from OpenAlex, Benny Weiss‐Steider has authored 78 papers receiving a total of 997 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Immunology, 25 papers in Oncology and 23 papers in Molecular Biology. Recurrent topics in Benny Weiss‐Steider's work include Immunotherapy and Immune Responses (20 papers), Immune Cell Function and Interaction (19 papers) and Adenosine and Purinergic Signaling (13 papers). Benny Weiss‐Steider is often cited by papers focused on Immunotherapy and Immune Responses (20 papers), Immune Cell Function and Interaction (19 papers) and Adenosine and Purinergic Signaling (13 papers). Benny Weiss‐Steider collaborates with scholars based in Mexico, Spain and United States. Benny Weiss‐Steider's co-authors include Alberto Monroy, María de Lourdes Mora‐García, Jorge Hernández‐Montes, Isabel Soto‐Cruz, Edelmiro Santiago‐Osorio, Rosario García‐Rocha, Juan José Montesinos, Leticia Rocha‐Zavaleta, Itzen Aguíñiga-Sánchez and Edgar Ledesma-Martínez and has published in prestigious journals such as International Journal of Molecular Sciences, Nutrients and European Journal of Pharmacology.

In The Last Decade

Benny Weiss‐Steider

73 papers receiving 985 citations

Peers

Benny Weiss‐Steider
Jane M. Turbov United States
Sanjay Varikuti United States
Benny Weiss‐Steider
Citations per year, relative to Benny Weiss‐Steider Benny Weiss‐Steider (= 1×) peers Songguang Ju

Countries citing papers authored by Benny Weiss‐Steider

Since Specialization
Citations

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

Fields of papers citing papers by Benny Weiss‐Steider

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Benny Weiss‐Steider. 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 Benny Weiss‐Steider. The network helps show where Benny Weiss‐Steider may publish in the future.

Co-authorship network of co-authors of Benny Weiss‐Steider

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

All Works

20 of 20 papers shown
1.
Aguíñiga-Sánchez, Itzen, Fabian Flores‐Borja, Isabel Soto‐Cruz, et al.. (2025). Sodium Caseinate Induces Apoptosis in Cytarabine-Resistant AML by Modulating SIRT1 and Chemoresistance Genes, Alone or in Combination with Cytarabine or Daunorubicin. International Journal of Molecular Sciences. 26(15). 7468–7468.
2.
Weiss‐Steider, Benny, et al.. (2025). Case Method in the Teaching-Learning Process in Higher Education: A Pedagogical Innovation in Transition. Ciencia Latina Revista Científica Multidisciplinar. 9(4). 7827–7856.
3.
Aguíñiga-Sánchez, Itzen, et al.. (2025). Hypoglycemic and lipid metabolic control in streptozotocin-induced diabetic mice by Sechium hybrid extract. Food Bioscience. 68. 106499–106499. 1 indexed citations
5.
Weiss‐Steider, Benny, et al.. (2024). Design of a liposome with the property to induce CD16 on cervical cancer cells with a purified spermidine-cholesterol. Journal of Nanoparticle Research. 26(2).
6.
Gutiérrez‐Hoya, Adriana, et al.. (2024). Cervical Cancer Cells Use the CD95 and IL-2 Pathways to Promote Their Proliferation and Survival. Biomolecules. 14(12). 1543–1543. 1 indexed citations
7.
Mora‐García, María de Lourdes, Martha C. Moreno‐Lafont, Rosario García‐Rocha, et al.. (2024). Adenosine increases PD‐L1 expression in mesenchymal stromal cells derived from cervical cancer through its interaction with A2AR/A2BR and the production of TGF‐β1. Cell Biochemistry and Function. 42(3). e4010–e4010. 3 indexed citations
8.
Mora‐García, María de Lourdes, Rosario García‐Rocha, Benny Weiss‐Steider, et al.. (2023). Inhibition of CD73 expression or A2AR blockade reduces MRP1 expression and increases the sensitivity of cervical cancer cells to cisplatin. Cell Biochemistry and Function. 41(3). 321–330. 3 indexed citations
9.
García‐Rocha, Rosario, Alberto Monroy, Jorge Hernández‐Montes, et al.. (2022). Evidence that cervical cancer cells cultured as tumorspheres maintain high CD73 expression and increase their protumor characteristics through TGF‐β production. Cell Biochemistry and Function. 40(7). 760–772. 10 indexed citations
10.
Mora‐García, María de Lourdes, Jorge Hernández‐Montes, Rosario García‐Rocha, et al.. (2022). Inhibition of adenosine deaminase activity reverses resistance to the cytotoxic effect of high adenosine levels in cervical cancer cells. Cytokine. 158. 155977–155977. 4 indexed citations
11.
Mora‐García, María de Lourdes, Benny Weiss‐Steider, Juan José Montesinos, et al.. (2020). Detection of CD39 and a Highly Glycosylated Isoform of Soluble CD73 in the Plasma of Patients with Cervical Cancer: Correlation with Disease Progression. Mediators of Inflammation. 2020. 1–14. 10 indexed citations
13.
Mora‐García, María de Lourdes, Rosario García‐Rocha, Benny Weiss‐Steider, et al.. (2019). HPV-16 Infection Is Associated with a High Content of CD39 and CD73 Ectonucleotidases in Cervical Samples from Patients with CIN-1. Mediators of Inflammation. 2019. 1–13. 18 indexed citations
14.
Mora‐García, María de Lourdes, Rosario García‐Rocha, Jorge Hernández‐Montes, et al.. (2019). Mesenchymal Stromal Cells Derived from Normal Cervix and Cervical Cancer Tumors Increase CD73 Expression in Cervical Cancer Cells Through TGF-β1 Production. Stem Cells and Development. 28(7). 477–488. 21 indexed citations
15.
Mora‐García, María de Lourdes, Rosario García‐Rocha, Juan José Montesinos, et al.. (2016). Mesenchymal stromal cells derived from cervical cancer produce high amounts of adenosine to suppress cytotoxic T lymphocyte functions. Journal of Translational Medicine. 14(1). 302–302. 63 indexed citations
16.
Montesinos, Juan José, María de Lourdes Mora‐García, Héctor Mayani, et al.. (2013). In Vitro Evidence of the Presence of Mesenchymal Stromal Cells in Cervical Cancer and Their Role in Protecting Cancer Cells from Cytotoxic T Cell Activity. Stem Cells and Development. 22(18). 2508–2519. 47 indexed citations
17.
Santiago‐Osorio, Edelmiro, et al.. (2010). Avances en la regulación de la proliferación y diferenciación de células hematopoyéticas, tanto normales como leucémicas, por la caseína y sus componentes. 11(4). 193–198. 1 indexed citations
18.
Soto‐Cruz, Isabel, et al.. (2010). Evidence that cervical cancer cells secrete IL-2, which becomes an autocrine growth factor. Cytokine. 50(3). 273–277. 22 indexed citations
19.
Cáceres‐Cortés, Julio Roberto, Kazuo Waga, Alberto Monroy, et al.. (2001). Implication of tyrosine kinase receptor and steel factor in cell density-dependent growth in cervical cancers and leukemias.. PubMed. 61(16). 6281–9. 49 indexed citations
20.
Santiago‐Osorio, Edelmiro, et al.. (1999). Biology of hemopoietic stem cells. Revista de investigaci�n Cl�nica. 53–68. 2 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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