Monica Leutner

1.3k citations
36 papers · 938 indexed · h-index 15

Monica Leutner

34 papers receiving 913 citations

Peers

Monica Leutner
Comparison fields: 5 of 80
  • Nephrology 145
  • Cancer Research 223
  • Hepatology 81
  • Oncology 275
  • Gastroenterology 46
Replace Shahzad Raza with:
Shahzad Raza United States
Simona Vatrano Italy
John J. Costanzi United States
Juan Carlos Mejía United States
Brad A. Marder United States
Andreas Donner Germany
Laurent Doucet France
Peter Schirmacher Germany
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Julia Beck Germany
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Citations per field
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Shahzad Raza · 1×
Citations per year

Countries citing papers authored by Monica Leutner

Since Specialization
Citations

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

Fields of papers citing papers by Monica Leutner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20211
2 20208
3 201956
4 20186
5 20184
6 20141
7
A composite score including BMI liver stiffness and rs738409 PNPLA3 genotype might spare liver biopsies to most NAFLD patients maintaining 95% diagnostic accuracy
20122
8 201121
9 200810
10 20081
11 200634
12 200511
13
Which kinds of lymph node metastases can FDG PET detect? A clinical study in melanoma.
2000142
14 199824
15 19983
16 199748
17 199723
18 199788
19 199516
20
Different expression of chromogranin A and chromogranin B in various types of pituitary adenomas.
19938

About Monica Leutner

Monica Leutner is a scholar working on Hepatology, Cancer Research and Rheumatology, having authored 36 papers that have together received 938 indexed citations. Recurring topics across this work include Hepatocellular Carcinoma Treatment and Prognosis (8 papers), Liver Disease Diagnosis and Treatment (6 papers), Pancreatic and Hepatic Oncology Research (5 papers), Soft tissue tumor case studies (4 papers), Cancer Genomics and Diagnostics (4 papers), Estrogen and related hormone effects (3 papers), Neurofibromatosis and Schwannoma Cases (3 papers) and MRI in cancer diagnosis (2 papers). The work is most often cited by research in Nephrology (145 citations), Cancer Research (223 citations) and Hepatology (81 citations). Monica Leutner has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Renzo Boldorini, Emilio Bombardieri, Guido Monga, Gianna Mazzucco, Tullio Bertani, Mirella Fortunato, S. Pilotti, N. Cascinelli, Federica Crippa and Gianfrancesco Gallino. Their work appears in journals such as SHILAP Revista de lepidopterología, JNCI Journal of the National Cancer Institute and Journal of Hepatology.

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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