Lucas C. M. Arruda

1.0k citations
28 papers · 607 indexed · h-index 16
  • Immunology top 10%
    • Immune Cell Function and Interaction 12
    • T-cell and B-cell Immunology 8
    • Immunotherapy and Immune Responses 6
    • Systemic Sclerosis and Related Diseases 10
    • Autoimmune Bullous Skin Diseases 4
  • Hematology top 10%
    • Hematopoietic Stem Cell Transplantation 6
    • CAR-T cell therapy research 7
    • Inflammatory Myopathies and Dermatomyositis 5

Lucas C. M. Arruda

24 papers receiving 605 citations

Peers

Lucas C. M. Arruda
Comparison fields: 5 of 51
  • Immunology 376
  • Pathology and Forensic Medicine 254
  • Hematology 121
  • Oncology 145
  • Genetics 56
Replace Marjan Daneshpouy with:
Marjan Daneshpouy France
Minoru Kojima Japan
Dale Frank United States
Alvaro J. Alencar United States
Naoki Kurita Japan
Do‐June Min South Korea
Andreas Himmelmann Switzerland
F. Lavie France
MY Mapara Germany
Takashi Akasaka Japan
Lucas C. M. Arruda relative to Marjan Daneshpouy France Marjan Daneshpouy's profile →
Citations per field
00.5×9.6×
Marjan Daneshpouy · 1×
Citations per year

Countries citing papers authored by Lucas C. M. Arruda

Since Specialization
Citations

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

Fields of papers citing papers by Lucas C. M. Arruda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lucas C. M. Arruda. 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 Lucas C. M. Arruda. The network helps show where Lucas C. M. Arruda may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20240
4 20233
5 20222
6 20227
7 20225
8 202121
9 202150
10 20211
11 202121
12 202020
13 201924
14 201829
15 201826
16 201753
17 201654
18 201637
19 201521
20 201479

About Lucas C. M. Arruda

Lucas C. M. Arruda is a scholar working on Immunology, Pathology and Forensic Medicine and Hematology, having authored 28 papers that have together received 607 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (12 papers), Systemic Sclerosis and Related Diseases (10 papers), T-cell and B-cell Immunology (8 papers), CAR-T cell therapy research (7 papers), Immunotherapy and Immune Responses (6 papers), Hematopoietic Stem Cell Transplantation (6 papers), Inflammatory Myopathies and Dermatomyositis (5 papers) and Autoimmune Bullous Skin Diseases (4 papers). The work is most often cited by research in Immunology (376 citations), Pathology and Forensic Medicine (254 citations) and Hematology (121 citations). Lucas C. M. Arruda has collaborated with scholars based in Sweden, Brazil and France. Frequent co-authors include Michael Uhlin, Ahmed Gaballa, Kelen Cristina Ribeiro Malmegrim, Antoine Toubert, Emmanuel Clave, Maria Carolina Oliveira, Belinda Pinto Simões, Dimas Tadeu Covas, Hélène Moins‐Teisserenc and Corinne Douay. Their work appears in journals such as Blood, The Journal of Immunology 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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2026