Matilde Saggese

4.1k citations
25 papers · 824 · h-index 14

Impact in

Papers in

    • Lung Cancer Treatments and Mutations 13
    • Advanced Breast Cancer Therapies 4
    • HER2/EGFR in Cancer Research 6
    • Colorectal Cancer Treatments and Studies 6
    • Lung Cancer Research Studies 3
    • Cancer Treatment and Pharmacology 3

Matilde Saggese

23 papers receiving 815 citations

Peers

Matilde Saggese
Comparison fields: 5 of 69
  • Pulmonary and Respiratory Medicine 327
  • Oncology 259
  • Cancer Research 105
  • Immunology 151
  • Molecular Biology 217
Replace Stephanie Sitterding with:
Stephanie Sitterding United States
Dan Sha China
Ayako Fujiwara Japan
Lucia Gelao Italy
Haining Li China
Yasuto Yoneshima Japan
Yongpeng Gu United States
Alexandra Vander Ark United States
Fumiyuki Kumaki Japan
C. Mascaux France
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Citations per field
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Citations per year

Countries citing papers authored by Matilde Saggese

Since Specialization
Citations

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

Fields of papers citing papers by Matilde Saggese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007195
2 202199
3 201896
4 200664
5 201252
6 201950
7 201947
8 202145
9 201940
10 200836
11 201523
12 201416
13 201415
14 201314
15 201413
16 20183
17 20183
18 20213
19 20203
20 20132

About Matilde Saggese

Matilde Saggese is a scholar working on Pulmonary and Respiratory Medicine, Oncology, Molecular Biology, Cancer Research and Statistics and Probability, having authored 25 papers that have together received 824 indexed citations. Recurring topics across this work include Lung Cancer Treatments and Mutations (13 papers), HER2/EGFR in Cancer Research (6 papers), Colorectal Cancer Treatments and Studies (6 papers), Cancer Genomics and Diagnostics (4 papers), Advanced Breast Cancer Therapies (4 papers), Lung Cancer Research Studies (3 papers), Cancer Treatment and Pharmacology (3 papers) and Fibroblast Growth Factor Research (3 papers). The work is most often cited by research in Pulmonary and Respiratory Medicine (327 citations), Oncology (259 citations), Cancer Research (105 citations), Immunology (151 citations) and Molecular Biology (217 citations). Matilde Saggese has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Suresh S. Ramalingam, Andrea Brendolan, Licia Selleri, Yoichiro Homma, Xiaojing Ma, Jihong Han, Jianguo Liu, Elaine Y. Chung, Roy L. Silverstein and Yunhua Zhang. Their work appears in journals such as Journal of Thoracic Oncology, Annals of Oncology, Journal of Clinical Oncology, Oncology Reviews 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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