Paul de Souza

14.8k citations
152 papers · 6.2k indexed · 3 hit papers · h-index 38

Paul de Souza

147 papers receiving 6.1k citations

Hit Papers

Effect of Nivolumab v...9462003202620102018250500750

Peers

Paul de Souza
Comparison fields: 5 of 139
  • Oncology 3.2k
  • Genetics 939
  • Cancer Research 1.3k
  • Pulmonary and Respiratory Medicine 2.1k
  • Immunology 813
Replace Jeanette M. Wood with:
Jeanette M. Wood Switzerland
Gabri van der Pluijm Netherlands
Erinn B. Rankin United States
Patrick G. Morris United States
Yuval Shaked Israel
Philippe Clézardin France
X. Cynthia United States
Rolf M. Mesters Germany
Francis Y. Lee United States
Taina Turpeenniemi‐Hujanen Finland
Paul de Souza relative to Jeanette M. Wood Switzerland Jeanette M. Wood's profile →
Citations per field
00.5×
Jeanette M. Wood · 1×
Citations per year

Countries citing papers authored by Paul de Souza

Since Specialization
Citations

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

Fields of papers citing papers by Paul de Souza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul de Souza. 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 Paul de Souza. The network helps show where Paul de Souza may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20235
3 20231
4
Phase I/IIa Trial of BMS-986148, an Anti-mesothelin Antibody-drug Conjugate, Alone or in Combination with Nivolumab in Patients with Advanced Solid Tumors
202240
5 202211
6 202143
7 20210
8 202014
9 202033
10 20203
11 202022
12 20192
13 201823
14 201819
15 20161
16 2014187
17 2013134
18 201327
19 201382
20 201253

About Paul de Souza

Paul de Souza is a scholar working on Oncology, Cancer Research and Pulmonary and Respiratory Medicine, having authored 152 papers that have together received 6.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (27 papers), Cancer Cells and Metastasis (19 papers), Cancer Immunotherapy and Biomarkers (18 papers), Prostate Cancer Treatment and Research (17 papers), Colorectal Cancer Treatments and Studies (16 papers), Renal cell carcinoma treatment (13 papers), Genetic factors in colorectal cancer (11 papers) and Glioma Diagnosis and Treatment (10 papers). The work is most often cited by research in Oncology (3.2k citations), Genetics (939 citations) and Cancer Research (1.3k citations). Paul de Souza has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Martina H. Stenzel, Maciej Krzakowski, Gladys Urbanowitz, Vera Hirsh, David Gordon, Therese M. Becker, Lee S. Rosen, Ming Zheng, Ronald Yanagihara and Marek Pawlicki. Their work appears in journals such as Journal of Clinical Oncology, SHILAP Revista de lepidopterología and PLoS ONE.

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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