Ana María Eiján

887 total citations
54 papers, 717 citations indexed

About

Ana María Eiján is a scholar working on Molecular Biology, Immunology and Cancer Research. According to data from OpenAlex, Ana María Eiján has authored 54 papers receiving a total of 717 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 14 papers in Immunology and 14 papers in Cancer Research. Recurrent topics in Ana María Eiján's work include Bladder and Urothelial Cancer Treatments (12 papers), Immune cells in cancer (9 papers) and Nitric Oxide and Endothelin Effects (8 papers). Ana María Eiján is often cited by papers focused on Bladder and Urothelial Cancer Treatments (12 papers), Immune cells in cancer (9 papers) and Nitric Oxide and Endothelin Effects (8 papers). Ana María Eiján collaborates with scholars based in Argentina, United States and Canada. Ana María Eiján's co-authors include Eduardo Sandes, Catalina Lodillinsky, Eugenia Sacerdote de Lustig, María A. Jasnis, Elisa Bal de Kier Joffé, Bárbara Prack McCormick, Lydia Puricelli, Daniel F. Alonso, Carlos Reyes‐Moreno and Lucas L. Colombo and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cancer.

In The Last Decade

Ana María Eiján

53 papers receiving 706 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ana María Eiján Argentina 18 330 173 150 128 105 54 717
Jisoo Yun South Korea 17 534 1.6× 259 1.5× 108 0.7× 110 0.9× 64 0.6× 41 926
Sarah A. Head United States 14 465 1.4× 126 0.7× 93 0.6× 133 1.0× 80 0.8× 32 854
Tadao Iwasaki Japan 18 298 0.9× 130 0.8× 307 2.0× 90 0.7× 136 1.3× 31 822
Mihail I. Mitov United States 15 545 1.7× 340 2.0× 68 0.5× 109 0.9× 89 0.8× 26 1.0k
Chong Li China 19 619 1.9× 306 1.8× 157 1.0× 211 1.6× 163 1.6× 46 1.1k
Jie Lan China 17 383 1.2× 159 0.9× 65 0.4× 254 2.0× 118 1.1× 28 962
Valerio Ciccone Italy 16 242 0.7× 128 0.7× 64 0.4× 145 1.1× 46 0.4× 44 618
Hayley C. Affronti United States 12 534 1.6× 354 2.0× 73 0.5× 143 1.1× 89 0.8× 19 842
Imoh S. Okon United States 13 425 1.3× 187 1.1× 69 0.5× 97 0.8× 108 1.0× 20 725
Linhua Lan China 17 502 1.5× 205 1.2× 73 0.5× 128 1.0× 103 1.0× 39 749

Countries citing papers authored by Ana María Eiján

Since Specialization
Citations

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

Fields of papers citing papers by Ana María Eiján

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ana María Eiján. 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 Ana María Eiján. The network helps show where Ana María Eiján may publish in the future.

Co-authorship network of co-authors of Ana María Eiján

This figure shows the co-authorship network connecting the top 25 collaborators of Ana María Eiján. A scholar is included among the top collaborators of Ana María Eiján 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 Ana María Eiján. Ana María Eiján 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.
Lopez, Salvatore, et al.. (2025). Towards Personalized Medicine: Microdevice-Assisted Evaluation of Cancer Stem Cell Dynamics and Treatment Response. Cancers. 17(12). 1922–1922. 1 indexed citations
2.
Palmieri, Mónica A., Andrea Monti Hughes, Emiliano C. C. Pozzi, et al.. (2023). Therapeutic Efficacy, Radiotoxicity and Abscopal Effect of BNCT at the RA-3 Nuclear Reactor Employing Oligo-Fucoidan and Glutamine as Adjuvants in an Ectopic Colon Cancer Model in Rats. Life. 13(7). 1538–1538. 8 indexed citations
3.
Lodillinsky, Catalina, Laetitia Fuhrmann, Marie Irondelle, et al.. (2021). Metastasis-suppressor NME1 controls the invasive switch of breast cancer by regulating MT1-MMP surface clearance. Oncogene. 40(23). 4019–4032. 23 indexed citations
4.
Chanphai, P., et al.. (2020). Biomolecular study and conjugation of two para-aminobenzoic acid derivatives with serum proteins: drug binding efficacy and protein structural analysis. Journal of Biomolecular Structure and Dynamics. 39(1). 79–90. 7 indexed citations
5.
Girouard, Julie, et al.. (2020). Relevance of iNOS expression in tumor growth and maintenance of cancer stem cells in a bladder cancer model. Journal of Molecular Medicine. 98(11). 1615–1627. 20 indexed citations
6.
McCormick, Bárbara Prack, et al.. (2017). Bacillus Calmette-Guerin improves local and systemic response to radiotherapy in invasive bladder cancer. Nitric Oxide. 64. 22–30. 5 indexed citations
7.
Lodillinsky, Catalina, et al.. (2015). Hypoxia-induced nitric oxide release by luminal cells stimulates proliferation and uPA secretion of myoepithelial cells in a bicellular murine mammary tumor. Journal of Cancer Research and Clinical Oncology. 141(10). 1727–1738. 2 indexed citations
8.
McCormick, Bárbara Prack, et al.. (2013). Inhibition of nitric oxide is a good therapeutic target for bladder tumors that express iNOS. Nitric Oxide. 36. 11–18. 24 indexed citations
9.
Behi, Mohamed El, Sophie Krumeich, Catalina Lodillinsky, et al.. (2013). An essential role for decorin in bladder cancer invasiveness. EMBO Molecular Medicine. 5(12). 1835–1851. 38 indexed citations
10.
Lodillinsky, Catalina, et al.. (2010). Bacillus Calmette Guerin Induces Fibroblast Activation Both Directly and through Macrophages in a Mouse Bladder Cancer Model. PLoS ONE. 5(10). e13571–e13571. 15 indexed citations
11.
Lodillinsky, Catalina, et al.. (2005). Inhibition of bacillus Calmette-Guérin-induced nitric oxide in bladder tumor cells may improve BCG treatment.. PubMed. 16(4). 565–71. 15 indexed citations
12.
Eiján, Ana María, et al.. (2003). High expression of cathepsin B in transitional bladder carcinoma correlates with tumor invasion. Cancer. 98(2). 262–268. 31 indexed citations
13.
14.
Cerutti, M., L Davel, Lucas L. Colombo, et al.. (1999). A synthetic, nitrogenated antimetastatic and anti-angiogenic compound with low toxicity in vivo.. International Journal of Oncology. 14(3). 585–91.
15.
Eiján, Ana María, et al.. (1998). Differential nitric oxide release and sensitivity to injury in different murine mammary tumor cell lines.. International Journal of Molecular Medicine. 14 indexed citations
16.
Eiján, Ana María, et al.. (1997). Levels of plasma cysteine-proteinase activity in bladder cancer patients. Oncology Reports. 4(2). 447–50. 2 indexed citations
17.
Eiján, Ana María, et al.. (1996). Influence of Mast Cells on Two Murine Mammary Adenocarcinomas. Tumor Biology. 17(6). 345–353. 6 indexed citations
18.
Eiján, Ana María, et al.. (1989). Isolated soluble fractions from spleen cell culture supernatants induce tumor enhancement. Journal of Surgical Oncology. 41(2). 134–138. 2 indexed citations
19.
Eiján, Ana María, et al.. (1987). Nature of the spleen cell populations capable of releasing tumor enhancing factor. Journal of Surgical Oncology. 36(3). 161–165. 5 indexed citations
20.
Eiján, Ana María, et al.. (1986). Serial analysis of fibronectin concentration in plasma of patients with benign and malignant breast diseases. Cancer. 57(7). 1345–1349. 9 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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