J Genollá
- Hepatology top 10%
- Hepatocellular Carcinoma Treatment and Prognosis 6
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- Ovarian cancer diagnosis and treatment 6
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- Neuroendocrine Tumor Research Advances 5
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- Monoclonal and Polyclonal Antibodies Research 5
- Radiomics and Machine Learning in Medical Imaging 3
- Radiopharmaceutical Chemistry and Applications 3
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- Glycosylation and Glycoproteins Research 10
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- Thyroid Cancer Diagnosis and Treatment 5
- Co-authors
- Á. RuibalJ. CollazosÁlvaro RuibalRámón ColomerLuis Salvador‐CarullaJulio CollazosJosé María Del CampoM Szturmowicz
- Journals
- The International Journal of Biological Markers (5 papers)Medical Physics (3 papers)British Journal of Cancer (2 papers)
- Partner nations
- SpainSwedenUnited Kingdom
In The Last Decade
J Genollá
33 papers receiving 433 citations
Peers
Comparison fields: 5 of 62
- Oncology 198
- Hepatology 52
- Reproductive Medicine 36
- Epidemiology 134
- Radiology, Nuclear Medicine and Imaging 86
Countries citing papers authored by J Genollá
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
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-authorship network
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 0 | |
| 2 | 2019 | 16 | |
| 3 | 2019 | 10 | |
| 4 | 2016 | 20 | |
| 5 | 2015 | 10 | |
| 6 | 2012 | 1 | |
| 7 | 2012 | 2 | |
| 8 | Samario-153-Lexidronam (EDTMP) en el tratamiento de las metástasis óseas | 2004 | 0 |
| 9 | 1996 | 76 | |
| 10 | 1995 | 5 | |
| 11 | 1994 | 28 | |
| 12 | Human seminal plasma analysis of five tumor markers: CA 125, alpha-fetoprotein, CA 50, CA 19.9, and CA 195. | 1994 | 1 |
| 13 | 1993 | 17 | |
| 14 | 1993 | 1 | |
| 15 | 1992 | 28 | |
| 16 | 1992 | 6 | |
| 17 | 1992 | 6 | |
| 18 | 1992 | 24 | |
| 19 | 1992 | 5 | |
| 20 | 1989 | 82 |
About J Genollá
J Genollá is a scholar working on Hepatology, Health Informatics and Reproductive Medicine, having authored 37 papers that have together received 447 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 (6 papers), Neuroendocrine Tumor Research Advances (5 papers), Monoclonal and Polyclonal Antibodies Research (5 papers), Thyroid Cancer Diagnosis and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). The work is most often cited by research in Oncology (198 citations), Hepatology (52 citations) and Reproductive Medicine (36 citations). J Genollá has collaborated with scholars based in Spain, Sweden and United Kingdom. Frequent co-authors include Á. Ruibal, J. Collazos, Álvaro Ruibal, Rámón Colomer, Luis Salvador‐Carulla, Julio Collazos, 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, British Journal of Cancer, Radiation Protection Dosimetry and Scandinavian Journal of Clinical and Laboratory Investigation.
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.