J Genollá

33 papers receiving 447 citations

Peers

J Genollá
Comparison fields: 5 of 53
  • Oncology 166
  • Hepatology 44
  • Reproductive Medicine 35
  • Radiology, Nuclear Medicine and Imaging 77
  • Epidemiology 92
Replace Orit Gutfeld with:
Orit Gutfeld Israel
Hedley Krawitz Australia
Hussein D. Aoun United States
D. Smaniotto Italy
Raúl Vera United States
Ansfield Fj United States
Vilija N. Avizonis United States
Lawrence Einhorn United States
Evin Büyükünal Türkiye
J Genollá relative to Orit Gutfeld Israel Orit Gutfeld's profile →
Citations per field
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Orit Gutfeld · 1×
Citations per year

Countries citing papers authored by J Genollá

Since Specialization
Citations

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

Fields of papers citing papers by J Genollá

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside J Genollá, 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 J Genollá Line = papers co-authored together J Genollá links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 37 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198987
2 199682
3 198950
4 199229
5 199428
6 199225
7 201620
8 201917
9 199317
10 201514
11
Serum CA 15.3 levels in patients with general pathology and malignant diseases (excluding breast cancer).
198614
12 201910
13 19928
14 19947
15 19926
16 19916
17 19926
18 19925
19 19955
20 19935

About J Genollá

J Genollá is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Hepatology and Epidemiology, having authored 37 papers that have together received 469 indexed citations. Recurring topics across this work include Glycosylation and Glycoproteins Research (10 papers), Hepatocellular Carcinoma Treatment and Prognosis (6 papers), Ovarian cancer diagnosis and treatment (5 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Neuroendocrine Tumor Research Advances (4 papers), Galectins and Cancer Biology (3 papers) and S100 Proteins and Annexins (3 papers). The work is most often cited by research in Oncology (166 citations), Hepatology (44 citations), Reproductive Medicine (35 citations), Radiology, Nuclear Medicine and Imaging (77 citations) and Epidemiology (92 citations). J Genollá has collaborated with scholars based in Spain, United Kingdom and Sweden. Frequent co-authors include Á. Ruibal, J. Collazos, Álvaro Ruibal, Rámón Colomer, Julio Collazos, Luis Salvador‐Carulla, José María Del Campo, M Szturmowicz, SA Gomm and T. A. W. Splinter. Their work appears in journals such as The International Journal of Biological Markers, Medical Physics, Physica Medica, Scandinavian Journal of Clinical and Laboratory Investigation and Radiation Protection Dosimetry.

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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