Abraham Zepeda‐Moreno

441 total citations
16 papers, 327 citations indexed

About

Abraham Zepeda‐Moreno is a scholar working on Hematology, Oncology and Immunology. According to data from OpenAlex, Abraham Zepeda‐Moreno has authored 16 papers receiving a total of 327 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Hematology, 5 papers in Oncology and 4 papers in Immunology. Recurrent topics in Abraham Zepeda‐Moreno's work include Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (4 papers) and Immunotherapy and Immune Responses (3 papers). Abraham Zepeda‐Moreno is often cited by papers focused on Hematopoietic Stem Cell Transplantation (7 papers), Acute Myeloid Leukemia Research (4 papers) and Immunotherapy and Immune Responses (3 papers). Abraham Zepeda‐Moreno collaborates with scholars based in Mexico, Germany and Colombia. Abraham Zepeda‐Moreno's co-authors include Anthony D. Ho, Van T. Hoang, Patrick Wuchter, Volker Eckstein, Josué Juárez, Alicia Del Toro‐Arreola, Sergio Sánchez‐Enríquez, Mario Almada, Adrián Daneri‐Navarro and Antonio Topete and has published in prestigious journals such as Biomaterials, International Journal of Molecular Sciences and International Journal of Cancer.

In The Last Decade

Abraham Zepeda‐Moreno

15 papers receiving 323 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Abraham Zepeda‐Moreno Mexico 11 96 85 80 57 54 16 327
Shamudheen Mohammed Rafiyath United States 5 93 1.0× 115 1.4× 102 1.3× 66 1.2× 103 1.9× 7 432
Juana Serrano‐López Spain 10 65 0.7× 129 1.5× 49 0.6× 71 1.2× 29 0.5× 32 317
Anna Desch Germany 7 90 0.9× 96 1.1× 90 1.1× 39 0.7× 27 0.5× 8 356
Frank Passero United States 11 36 0.4× 136 1.6× 128 1.6× 51 0.9× 67 1.2× 25 411
Guillermo De Angulo United States 7 50 0.5× 92 1.1× 96 1.2× 97 1.7× 46 0.9× 10 427
Ephraem Leitner Australia 7 37 0.4× 126 1.5× 34 0.4× 98 1.7× 45 0.8× 8 340
Ashish Bakshi India 11 58 0.6× 69 0.8× 127 1.6× 58 1.0× 80 1.5× 34 426
Wenda Ye United States 7 68 0.7× 92 1.1× 117 1.5× 38 0.7× 16 0.3× 11 327
Marita Westhrin Norway 10 61 0.6× 146 1.7× 81 1.0× 69 1.2× 24 0.4× 14 285
Lidan Zhu China 10 94 1.0× 130 1.5× 74 0.9× 28 0.5× 18 0.3× 31 375

Countries citing papers authored by Abraham Zepeda‐Moreno

Since Specialization
Citations

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

Fields of papers citing papers by Abraham Zepeda‐Moreno

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Abraham Zepeda‐Moreno. 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 Abraham Zepeda‐Moreno. The network helps show where Abraham Zepeda‐Moreno may publish in the future.

Co-authorship network of co-authors of Abraham Zepeda‐Moreno

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

All Works

16 of 16 papers shown
1.
Macías-Islas, Miguel Ángel, et al.. (2023). Leukocyte Telomere Length Predicts Severe Disability in Relapsing-Remitting Multiple Sclerosis and Correlates with Mitochondrial DNA Copy Number. International Journal of Molecular Sciences. 24(2). 916–916. 6 indexed citations
2.
Rivas‐Carrillo, Jorge David, et al.. (2023). SARS-CoV-2: Air pollution highly correlated to the increase in mortality. The case of Guadalajara, Jalisco, México. Infectious Disease Modelling. 8(2). 445–457. 1 indexed citations
3.
Zepeda‐Moreno, Abraham, et al.. (2022). A Brief Review of Carbon Dots–Silica Nanoparticles Synthesis and their Potential Use as Biosensing and Theragnostic Applications. Nanoscale Research Letters. 17(1). 56–56. 29 indexed citations
4.
Ortiz‐Lazareno, Pablo Cesar, Blanca Estela Bastidas‐Ramírez, Abraham Zepeda‐Moreno, et al.. (2020). Immune checkpoint expression on peripheral cytotoxic lymphocytes in cervical cancer patients: moving beyond the PD-1/PD-L1 axis. Clinical & Experimental Immunology. 204(1). 78–95. 18 indexed citations
5.
Almada, Mario, Josué Juárez, Abraham Zepeda‐Moreno, et al.. (2019). Cisplatin-loaded PLGA nanoparticles for HER2 targeted ovarian cancer therapy. Colloids and Surfaces B Biointerfaces. 178. 199–207. 67 indexed citations
6.
Sánchez‐Enríquez, Sergio, José Rafael Villafán-Bernal, Sara Pascoe-González, et al.. (2017). Serum levels of undercarboxylated osteocalcin are related to cardiovascular risk factors in patients with type 2 diabetes mellitus and healthy subjects. World Journal of Diabetes. 8(1). 11–11. 28 indexed citations
7.
Armendáriz‐Borunda, Juan, et al.. (2015). Polimorfizmy genu receptora witaminy D (TaqI oraz ApaI) oraz cyrkulacja osteokalcyny u pacjentów chorujących na cukrzycę typu 2 i osób zdrowych. Endokrynologia Polska. 66(4). 329–333. 23 indexed citations
8.
Bobadilla‐Morales, Lucina, et al.. (2015). Pediatric donor cell leukemia after allogeneic hematopoietic stem cell transplantation in AML patient from related donor. Molecular Cytogenetics. 8(1). 5–5. 7 indexed citations
9.
Hoang, Van T., Eike C. Buss, Wenwen Wang, et al.. (2014). The rarity of ALDH + cells is the key to separation of normal versus leukemia stem cells by ALDH activity in AML patients. International Journal of Cancer. 137(3). 525–536. 40 indexed citations
10.
Hoang, Van T., Abraham Zepeda‐Moreno, Dan Ran, et al.. (2013). Identification and Separation of Normal Hematopoietic Stem Cells and Leukemia Stem Cells from Patients with Acute Myeloid Leukemia. Methods in molecular biology. 1035. 217–230. 10 indexed citations
11.
Christophis, Christof, Mario Schubert, Van T. Hoang, et al.. (2013). Differences between healthy hematopoietic progenitors and leukemia cells with respect to CD44 mediated rolling versus adherence behavior on hyaluronic acid coated surfaces. Biomaterials. 35(5). 1411–1419. 23 indexed citations
12.
Hoang, Van T., Abraham Zepeda‐Moreno, & Anthony D. Ho. (2012). Identification of leukemia stem cells in acute myeloid leukemia and their clinical relevance. Biotechnology Journal. 7(6). 779–788. 16 indexed citations
13.
Zepeda‐Moreno, Abraham, Rainer Saffrich, Thomas Walenda, et al.. (2012). Modeling SDF-1–induced mobilization in leukemia cell lines. Experimental Hematology. 40(8). 666–674. 19 indexed citations
14.
Zepeda‐Moreno, Abraham, et al.. (2011). Innovative method for quantification of cell-cell adhesion in 96-well plates. Cell Adhesion & Migration. 5(3). 215–219. 13 indexed citations
15.
Saffrich, Rainer, Abraham Zepeda‐Moreno, Volker Eckstein, et al.. (2010). Characterization of hematopoietic stem cell subsets from patients with multiple myeloma after mobilization with plerixafor. Cytotherapy. 13(4). 459–466. 27 indexed citations
16.
Zepeda‐Moreno, Abraham, et al.. (2004). Cáncer pulmonar (1ª. de 2 partes). 47(2). 64–68.

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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