R. Mora

860 citations
16 papers · 408 · h-index 10

Impact in

  • Hepatology top 2%
    • Hepatocellular Carcinoma Treatment and Prognosis
    • Liver Disease and Transplantation
    • Liver Disease Diagnosis and Treatment
    • Hepatitis B Virus Studies

Papers in

    • Hepatocellular Carcinoma Treatment and Prognosis 11
    • Cholangiocarcinoma and Gallbladder Cancer Studies 3

R. Mora

14 papers receiving 405 citations

Peers

R. Mora
Comparison fields: 5 of 30
  • Hepatology 343
  • Epidemiology 100
  • Radiation 27
  • Pulmonary and Respiratory Medicine 82
  • Radiology, Nuclear Medicine and Imaging 46
Replace Kenneth G. Haines with:
Kenneth G. Haines United States
Jin Iwazawa Japan
Nadine Abouchaleh United States
Ali Al Asadi Iran
Karen Marshall United States
S.M. Ibrahim United States
Christoph Trumm Germany
Christian Rosner Germany
K.T. Sato United States
Baerbel Meteling Australia
R. Mora relative to Kenneth G. Haines United States Kenneth G. Haines's profile →
Citations per field
00.5×3.2×
Kenneth G. Haines · 1×
Citations per year

Countries citing papers authored by R. Mora

Since Specialization
Citations

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

Fields of papers citing papers by R. Mora

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1 2018183
2 201761
3 201742
4 201724
5 201718
6 201717
7 201915
8 201815
9 201914
10 19769
11 20196
12 20182
13 20241
14 20191
15 20180
16 20190

About R. Mora

R. Mora is a scholar working on Hepatology, Surgery, Epidemiology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 408 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (11 papers), Renal cell carcinoma treatment (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Hepatitis B Virus Studies (2 papers), Liver Disease Diagnosis and Treatment (2 papers), Multiple and Secondary Primary Cancers (1 paper), Microbial Inactivation Methods (1 paper) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Hepatology (343 citations), Epidemiology (100 citations), Radiation (27 citations), Pulmonary and Respiratory Medicine (82 citations) and Radiology, Nuclear Medicine and Imaging (46 citations). R. Mora has collaborated with scholars based in United States, Philippines and Netherlands. Frequent co-authors include Riad Salem, Ahsun Riaz, Rehan Ali, Ahmed Gabr, Robert J. Lewandowski, Ali Al Asadi, S. Mouli, Nadine Abouchaleh, Laura Kulik and Kush Desai. Their work appears in journals such as CardioVascular and Interventional Radiology, Abdominal Radiology, European Journal of Nuclear Medicine and Molecular Imaging, Journal of Vascular and Interventional Radiology and Journal of Nuclear Medicine.

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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