Raquel M. Gonçalves

5.8k citations
95 papers · 4.4k indexed · 3 hit papers · h-index 35

Raquel M. Gonçalves

93 papers receiving 4.3k citations

Hit Papers

Interferon-Gamma at the Crossroads of Tumor Immune Survei...8752015202620182022250500750

Peers

Raquel M. Gonçalves
Comparison fields: 5 of 139
  • Genetics 706
  • Pathology and Forensic Medicine 1.2k
  • Pharmacology 842
  • Immunology 891
  • Biomaterials 451
Replace Riichiro Abe with:
Riichiro Abe Japan
John Hood United States
Raimund W. Kinne Germany
George R. Dodge United States
Heribert Bohlen Germany
Maxine Gowen United States
Giuseppe Pirozzi Italy
Karen A. Hasty United States
David E. Woolley United Kingdom
Reza Abdi United States
Raquel M. Gonçalves relative to Riichiro Abe Japan Riichiro Abe's profile →
Citations per field
00.5×1.5×2.0×
Riichiro Abe · 1×
Citations per year

Countries citing papers authored by Raquel M. Gonçalves

Since Specialization
Citations

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

Fields of papers citing papers by Raquel M. Gonçalves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raquel M. Gonçalves. 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 Raquel M. Gonçalves. The network helps show where Raquel M. Gonçalves may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 202510
3 20249
4 20237
5 20233
6 20238
7 202174
8 202114
9 20219
10 202038
11 20206
12 201813
13 201677
14 201534
15 201513
16 201540
17 201537
18 201418
19 201248
20 201019

About Raquel M. Gonçalves

Raquel M. Gonçalves is a scholar working on Pathology and Forensic Medicine, Pharmacology and Genetics, having authored 95 papers that have together received 4.4k indexed citations. Recurring topics across this work include Spine and Intervertebral Disc Pathology (34 papers), Musculoskeletal pain and rehabilitation (23 papers), Mesenchymal stem cell research (15 papers), Tissue Engineering and Regenerative Medicine (10 papers), Immunotherapy and Immune Responses (9 papers), Electrospun Nanofibers in Biomedical Applications (9 papers), RNA Interference and Gene Delivery (8 papers) and Biopolymer Synthesis and Applications (7 papers). The work is most often cited by research in Genetics (706 citations), Pathology and Forensic Medicine (1.2k citations) and Pharmacology (842 citations). Raquel M. Gonçalves has collaborated with scholars based in Portugal, Germany and United States. Frequent co-authors include Mário A. Barbosa, María José Oliveira, Flávia Castro, Ana Patrícia Cardoso, Karine Serre, Susana G. Santos, Graça Almeida‐Porada, Graciosa Q. Teixeira, Carla Cunha and Joana R. Ferreira. Their work appears in journals such as Biomaterials, Advanced Functional Materials and Oncogene.

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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