P. Lai

791 citations
27 papers · 631 · h-index 12

Impact in

Papers in

    • Immune Cell Function and Interaction 8
    • Immunotherapy and Immune Responses 4
    • T-cell and Retrovirus Studies 2
    • Lung Cancer Research Studies 4
    • Cancer Immunotherapy and Biomarkers 3

P. Lai

25 papers receiving 617 citations

Peers

P. Lai
Comparison fields: 5 of 74
  • Physiology 159
  • Endocrine and Autonomic Systems 36
  • Cellular and Molecular Neuroscience 99
  • Immunology 101
  • Oncology 103
Replace Katsushi Shibata with:
Katsushi Shibata Japan
Steven Hockman United States
Hayley J. Harris United Kingdom
Odelia Rajanayagam United Kingdom
Agnieszka Czopik United States
Minh Deo Australia
Patrick Pagésy France
И. Г. Коваленко Russia
Gitte Lund Christensen Denmark
Craig Weber United States
P. Lai relative to Katsushi Shibata Japan Katsushi Shibata's profile →
Citations per field
00.5×5.0×
Katsushi Shibata · 1×
Citations per year

Countries citing papers authored by P. Lai

Since Specialization
Citations

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

Fields of papers citing papers by P. Lai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Cytokine activity in cancer-related anorexia/cachexia: role of megestrol acetate and medroxyprogesterone acetate.
1998129
2 199790
3 199874
4 200556
5 200740
6 199738
7 200535
8 200630
9 199722
10 199817
11 200614
12 199512
13 200011
14 199611
15 199410
16 199710
17 19988
18 19935
19 19994
20 19953

About P. Lai

P. Lai is a scholar working on Immunology, Oncology, Surgery, Molecular Biology and Otorhinolaryngology, having authored 27 papers that have together received 631 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (8 papers), Lung Cancer Research Studies (4 papers), Immunotherapy and Immune Responses (4 papers), Head and Neck Cancer Studies (3 papers), Cancer Immunotherapy and Biomarkers (3 papers), Genomics, phytochemicals, and oxidative stress (2 papers), Cannabis and Cannabinoid Research (2 papers) and T-cell and Retrovirus Studies (2 papers). The work is most often cited by research in Physiology (159 citations), Endocrine and Autonomic Systems (36 citations), Cellular and Molecular Neuroscience (99 citations), Immunology (101 citations) and Oncology (103 citations). P. Lai has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Antonio Macciò, Maria Cristina Santona, Elena Massa, Giovanna Mantovani, Massimo Ghiani, Giovanni Mantovani, Del Giacco Gs, Gian Benedetto Melis, Mauro A.M. Carai and Alessandro Orrù. Their work appears in journals such as Oncology Reports, European Journal of Cancer, Cell Biochemistry and Biophysics, International Journal of Oncology and Biochemical Society Transactions.

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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