Paul Maciocia

801 total citations
23 papers, 504 citations indexed

About

Paul Maciocia is a scholar working on Oncology, Molecular Biology and Dermatology. According to data from OpenAlex, Paul Maciocia has authored 23 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Oncology, 9 papers in Molecular Biology and 6 papers in Dermatology. Recurrent topics in Paul Maciocia's work include CAR-T cell therapy research (16 papers), Cutaneous lymphoproliferative disorders research (6 papers) and Multiple Myeloma Research and Treatments (5 papers). Paul Maciocia is often cited by papers focused on CAR-T cell therapy research (16 papers), Cutaneous lymphoproliferative disorders research (6 papers) and Multiple Myeloma Research and Treatments (5 papers). Paul Maciocia collaborates with scholars based in United Kingdom, Italy and Belgium. Paul Maciocia's co-authors include Martin Pulé, Shimobi Onuoha, Brian Philip, Patrycja Wawrzyniecka, Giuseppe Gritti, David C. Linch, Teresa Marafioti, Joan Somja, David K. Cole and Andrew K. Sewell and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Blood.

In The Last Decade

Paul Maciocia

22 papers receiving 494 citations

Peers

Paul Maciocia
Comparison fields: 5 of 39
  • Oncology 378
  • Immunology 153
  • Molecular Biology 131
  • Pathology and Forensic Medicine 121
  • Genetics 89
Replace LaQuisa Hill with:
LaQuisa Hill United States
Christine Dehner United States
Houston Holmes United States
Alessandro Crotta United States
Hien Liu United States
Joyce Murata‐Collins United States
Matthew L. Ulrickson United States
Evandro D. Bezerra United States
Alessandro Previtali United States
Eugenio Galli Italy
LaQuisa Hill United States View profile →
Citations per field, relative to Paul Maciocia
Paul Maciocia · 1×
Citations per year, relative to Paul Maciocia
Paul Maciocia · 1×

Countries citing papers authored by Paul Maciocia

Since Specialization
Citations

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

Fields of papers citing papers by Paul Maciocia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paul Maciocia

This figure shows the co-authorship network connecting the top 25 collaborators of Paul Maciocia. A scholar is included among the top collaborators of Paul Maciocia based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Paul Maciocia. Paul Maciocia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 13
2 1
3 4
4 2
5 44
6 9
7 7
8 2
9 1
10 1
11 2
12 4
13 192
14 134
15 2
16 1
17 0
18 20
19 1
20 30

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026