P. LoRusso

415 citations
38 papers · 328 indexed · h-index 12

Impact in

    • HER2/EGFR in Cancer Research
    • Cancer Treatment and Pharmacology

Papers in

    • Cancer Genomics and Diagnostics 8
    • Cancer Treatment and Pharmacology 6
    • Colorectal Cancer Treatments and Studies 5
    • HER2/EGFR in Cancer Research 4

P. LoRusso

37 papers receiving 319 citations

Peers

P. LoRusso
Comparison fields: 5 of 47
  • Oncology 143
  • Genetics 38
  • Molecular Biology 229
  • Cancer Research 43
  • Pulmonary and Respiratory Medicine 84
Replace Nathalie Berthault with:
Nathalie Berthault France
Megan M. Starr United States
Woody Han United States
Kirsty Ratcliffe United Kingdom
Cath Eberlein United Kingdom
Laura K. Nolden United States
S. Ogawa Japan
Jennifer Volkman United States
Nguyen Tan United States
Cheri A. Pasch United States
P. LoRusso relative to Nathalie Berthault France Nathalie Berthault's profile →
Citations per field
00.5×1.6×
Nathalie Berthault · 1×
Citations per year

Countries citing papers authored by P. LoRusso

Since Specialization
Citations

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

Fields of papers citing papers by P. LoRusso

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201144
2 200928
3 201125
4 201018
5 201115
6 200714
7 201014
8 200413
9 201613
10 201112
11 201012
12 201111
13 201611
14 202010
15 201110
16 200810
17 20108
18 20117
19 20127
20 20107

About P. LoRusso

P. LoRusso is a scholar working on Cancer Research, Oncology, Biotechnology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 38 papers that have together received 328 indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (8 papers), Cancer Treatment and Pharmacology (6 papers), Colorectal Cancer Treatments and Studies (5 papers), Lung Cancer Treatments and Mutations (5 papers), Cancer Research and Treatments (4 papers), HER2/EGFR in Cancer Research (4 papers), Advanced Breast Cancer Therapies (4 papers) and Protein Degradation and Inhibitors (3 papers). The work is most often cited by research in Oncology (143 citations), Genetics (38 citations), Molecular Biology (229 citations), Cancer Research (43 citations) and Pulmonary and Respiratory Medicine (84 citations). P. LoRusso has collaborated with scholars based in United States, Japan and France. Frequent co-authors include Geoffrey I. Shapiro, Elisabeth I. Heath, J. R. Infante, Chad Zack, Amy J. Wagner, Daniel D. Von Hoff, Shirish M. Gadgeel, Raghu Venkatramanamoorthy, J. A. Ware and Howard A. Burris. Their work appears in journals such as Journal of Clinical Oncology, Annals of Oncology, European Journal of Cancer, European Journal of Cancer Supplements and 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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