Ivan Lolli

1.1k citations
40 papers · 693 · h-index 13

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics

Papers in

    • Glioma Diagnosis and Treatment 15
    • Colorectal Cancer Treatments and Studies 7
    • Cancer Treatment and Pharmacology 6

Ivan Lolli

37 papers receiving 685 citations

Peers

Ivan Lolli
Comparison fields: 5 of 54
  • Genetics 369
  • Cancer Research 162
  • Oncology 159
  • Pulmonary and Respiratory Medicine 130
  • Neurology 59
Replace Marina Faedi with:
Marina Faedi Italy
Debra C. LaFrankie United States
Mario Caccese Italy
T. Mikkelsen United States
Gaspar Reynés Spain
Emese Filka United States
G. Dresemann Germany
J. Norfleet United States
L. E. Abrey United States
Michael Badruddoja United States
Ivan Lolli relative to Marina Faedi Italy Marina Faedi's profile →
Citations per field
00.5×1.5×
Marina Faedi · 1×
Citations per year

Countries citing papers authored by Ivan Lolli

Since Specialization
Citations

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

Fields of papers citing papers by Ivan Lolli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2018266
2 201354
3 200847
4 202141
5 200735
6 202029
7 201427
8 202021
9 202118
10 202016
11 201314
12 201912
13 202012
14 202211
15 201111
16 201210
17 200610
18 20239
19 20059
20 20225

About Ivan Lolli

Ivan Lolli is a scholar working on Genetics, Oncology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Cancer Research, having authored 40 papers that have together received 693 indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (15 papers), Colorectal Cancer Treatments and Studies (7 papers), Cancer Treatment and Pharmacology (6 papers), Brain Metastases and Treatment (5 papers), Radiomics and Machine Learning in Medical Imaging (4 papers), Lung Cancer Treatments and Mutations (4 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Neuroendocrine Tumor Research Advances (3 papers). The work is most often cited by research in Genetics (369 citations), Cancer Research (162 citations), Oncology (159 citations), Pulmonary and Respiratory Medicine (130 citations) and Neurology (59 citations). Ivan Lolli has collaborated with scholars based in Italy and United States. Frequent co-authors include Roberta Rudà, Riccardo Soffietti, Francesco Pasqualetti, Simona Rizzato, Vittorina Zagonel, Marica Eoli, Gian Luca De Salvo, Giuseppe Lombardi, Alba A. Brandes and Stefano Indraccolo. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, Journal of Neuro-Oncology, European Journal of Cancer and Clinical Cancer Research.

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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