Ana I. Sáez

418 total citations
8 papers, 340 citations indexed

About

Ana I. Sáez is a scholar working on Oncology, Pathology and Forensic Medicine and Cancer Research. According to data from OpenAlex, Ana I. Sáez has authored 8 papers receiving a total of 340 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Oncology, 7 papers in Pathology and Forensic Medicine and 2 papers in Cancer Research. Recurrent topics in Ana I. Sáez's work include Lymphoma Diagnosis and Treatment (7 papers), Cancer-related Molecular Pathways (5 papers) and Viral-associated cancers and disorders (4 papers). Ana I. Sáez is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Cancer-related Molecular Pathways (5 papers) and Viral-associated cancers and disorders (4 papers). Ana I. Sáez collaborates with scholars based in Spain, Uruguay and United States. Ana I. Sáez's co-authors include Miguel Á. Piris, Margarita Sánchez‐Beato, Raquel Villuendas, Juan F. Garcı́a, Francisca I. Camacho, Lydia Sánchez-Verde, M. Sol Mateo, Beatriz Martı́nez-Delgado, L Sánchez‐Verde and Pedro Martı́nez and has published in prestigious journals such as Blood, Cancer and American Journal Of Pathology.

In The Last Decade

Ana I. Sáez

7 papers receiving 325 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ana I. Sáez Spain	7	194	181	148	78	39	8	340
Grit Hutter Germany	10	117 0.6×	151 0.8×	185 1.3×	84 1.1×	60 1.5×	29	313
Jacob Haaber Denmark	8	192 1.0×	124 0.7×	105 0.7×	64 0.8×	30 0.8×	13	336
M. Sol Mateo Spain	8	190 1.0×	292 1.6×	107 0.7×	190 2.4×	31 0.8×	9	401
Sandra Sernbo Sweden	6	149 0.8×	192 1.1×	200 1.4×	93 1.2×	78 2.0×	9	390
G Stranks United Kingdom	7	182 0.9×	153 0.8×	125 0.8×	93 1.2×	28 0.7×	8	331
Kristina Hinz Germany	7	107 0.6×	216 1.2×	59 0.4×	91 1.2×	57 1.5×	16	304
T Kinoshita Japan	10	205 1.1×	104 0.6×	198 1.3×	107 1.4×	31 0.8×	17	437
Hans-Konrad Mueller-Hermelink Germany	6	113 0.6×	196 1.1×	71 0.5×	61 0.8×	40 1.0×	10	270
Stefano Rosati Netherlands	8	174 0.9×	229 1.3×	80 0.5×	120 1.5×	58 1.5×	12	333
Martin U. Kuefer United States	7	129 0.7×	207 1.1×	144 1.0×	80 1.0×	20 0.5×	8	379

Countries citing papers authored by Ana I. Sáez

Since Specialization

Citations

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

Fields of papers citing papers by Ana I. Sáez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ana I. Sáez

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

All Works

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8 of 8 papers shown

1.

Sáez, Ana I., Mónica García‐Cosío, Antonio José Sáez-Castillo, et al.. (2009). Identification of biological markers of sensitivity to high-clinical-risk-adapted therapy for patients with diffuse large B-cell lymphoma. Leukemia & lymphoma. 50(4). 571–581. 8 indexed citations

2.

Robledo, Cristina, Juan Luis Garcı́a, Dolores Caballero, et al.. (2009). Array comparative genomic hybridization identifies genetic regions associated with outcome in aggressive diffuse large B‐cell lymphomas. Cancer. 115(16). 3728–3737. 24 indexed citations

3.

Nogales, Francisco F., et al.. (2004). Multifocal intrafollicular granulosa cell tumor of the ovary associated with an unusual germline p53 mutation. Modern Pathology. 17(7). 868–873. 15 indexed citations

4.

Camacho, Francisca I., Juan F. Garcı́a, Lydia Sánchez-Verde, et al.. (2001). Unique Phenotypic Profile of Monocytoid B Cells. American Journal Of Pathology. 158(4). 1363–1369. 21 indexed citations

5.

Sánchez‐Beato, Margarita, Ana I. Sáez, Patrocinio Algara, et al.. (2001). Overall Survival in Aggressive B-Cell Lymphomas Is Dependent on the Accumulation of Alterations in p53, p16, and p27. American Journal Of Pathology. 159(1). 205–213. 68 indexed citations

6.

Sánchez‐Beato, Margarita, Francisca I. Camacho, Ana I. Sáez, et al.. (1999). Anomalous High p27/KIP1 Expression in a Subset of Aggressive B-Cell Lymphomas Is Associated With Cyclin D3 Overexpression. p27/KIP1—Cyclin D3 Colocalization in Tumor Cells. Blood. 94(2). 765–772.

7.

Sánchez‐Beato, Margarita, Francisca I. Camacho, Ana I. Sáez, et al.. (1999). Anomalous High p27/KIP1 Expression in a Subset of Aggressive B-Cell Lymphomas Is Associated With Cyclin D3 Overexpression. p27/KIP1—Cyclin D3 Colocalization in Tumor Cells. Blood. 94(2). 765–772. 106 indexed citations

8.

Villuendas, Raquel, Margarita Sánchez‐Beato, Juan C. Garro Martínez, et al.. (1998). Loss of p16/INK4A Protein Expression in Non-Hodgkin's Lymphomas Is a Frequent Finding Associated with Tumor Progression. American Journal Of Pathology. 153(3). 887–897. 98 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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