Eva Cristóbal

1.1k citations
29 papers · 781 · h-index 15

Impact in

Papers in

Eva Cristóbal

29 papers receiving 748 citations

Peers

Eva Cristóbal
Comparison fields: 5 of 51
  • Pathology and Forensic Medicine 389
  • Genetics 160
  • Obstetrics and Gynecology 99
  • Reproductive Medicine 95
  • Oncology 248
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Su-Su Xie United States
L. Giurgea Belgium
Anni Grove Denmark
Farnaz Dadmanesh United States
Mervi Aavikko Finland
Kiyong Na South Korea
Hui-Qiang Huang China
Tomoko Wakasa Japan
Eva Rambech Sweden
Tatsuya Suzuki Japan
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Citations per field
00.5×3.9×
Su-Su Xie · 1×
Citations per year

Countries citing papers authored by Eva Cristóbal

Since Specialization
Citations

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

Fields of papers citing papers by Eva Cristóbal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Eva Cristóbal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Eva Cristóbal Line = papers co-authored together Eva Cristóbal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Splenic marginal zone lymphoma: a distinctive type of low-grade B-cell lymphoma. A clinicopathological study of 13 cases.
1995127
2 1995100
3 201677
4 201963
5 202047
6 201934
7 202034
8 199534
9 200230
10
Monocytoid B cells. A comparative clinical pathological study of their distribution in different types of low-grade lymphomas.
199429
11 199429
12 202025
13 201922
14 201121
15 199719
16 202213
17 201113
18 20088
19 19988
20 20007

About Eva Cristóbal

Eva Cristóbal is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 29 papers that have together received 781 indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (9 papers), Chronic Lymphocytic Leukemia Research (6 papers), Ovarian cancer diagnosis and treatment (4 papers), Viral-associated cancers and disorders (4 papers), Endometrial and Cervical Cancer Treatments (4 papers), Pancreatic and Hepatic Oncology Research (3 papers), Gastrointestinal Tumor Research and Treatment (3 papers) and Cancer Genomics and Diagnostics (2 papers). The work is most often cited by research in Pathology and Forensic Medicine (389 citations), Genetics (160 citations), Obstetrics and Gynecology (99 citations), Reproductive Medicine (95 citations) and Oncology (248 citations). Eva Cristóbal has collaborated with scholars based in Spain, United States and Italy. Frequent co-authors include Javier Menárguez, P Algara, Manuela Mollejo, Elı́as Campo, E. Lloret, Belén Perez‐Mies, José Palacios, Miguel Á. Piris, Juan Manuel Rosa-Rosa and Susanna Leskelä. Their work appears in journals such as The American Journal of Surgical Pathology, Cancers, Histopathology, Endocrine Pathology and Gynecologic Oncology.

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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