Inês Graça

1.1k citations
28 papers · 859 · h-index 16

Impact in

Papers in

Inês Graça

25 papers receiving 844 citations

Peers

Inês Graça
Comparison fields: 5 of 79
  • Geriatrics and Gerontology 81
  • Cancer Research 231
  • Molecular Biology 576
  • Pulmonary and Respiratory Medicine 141
  • Oncology 78
Replace Sotirios Zervopoulos with:
Sotirios Zervopoulos Canada
Olsi Gjyshi United States
Yeyang Xu China
Xuechao Wan China
Yani Lin China
Paola Sanese Italy
Chaoxia Zou China
Masaaki Miyo Japan
Margaret H.L. Ng Hong Kong
Manuel P. Jiménez-García Spain
Inês Graça relative to Sotirios Zervopoulos Canada Sotirios Zervopoulos's profile →
Citations per field
00.5×1.6×
Sotirios Zervopoulos · 1×
Citations per year

Countries citing papers authored by Inês Graça

Since Specialization
Citations

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

Fields of papers citing papers by Inês Graça

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201572
2 201670
3 201568
4 201457
5 201456
6 201656
7 201355
8 201850
9 201848
10 201348
11 201747
12 201643
13 201740
14 201833
15 201328
16 202025
17 201915
18 201212
19 201711
20 201311

About Inês Graça

Inês Graça is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine, Cancer Research, Oncology and Geriatrics and Gerontology, having authored 28 papers that have together received 859 indexed citations. Recurring topics across this work include Epigenetics and DNA Methylation (13 papers), Prostate Cancer Treatment and Research (5 papers), Cancer-related gene regulation (4 papers), MicroRNA in disease regulation (4 papers), Sirtuins and Resveratrol in Medicine (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Cancer-related molecular mechanisms research (3 papers) and RNA modifications and cancer (2 papers). The work is most often cited by research in Geriatrics and Gerontology (81 citations), Cancer Research (231 citations), Molecular Biology (576 citations), Pulmonary and Respiratory Medicine (141 citations) and Oncology (78 citations). Inês Graça has collaborated with scholars based in Portugal, United Kingdom and Spain. Frequent co-authors include Cármen Jerónimo, Rui Henrique, Elsa Sousa, Filipa Quintela Vieira, Jorge Oliveira, Pedro Costa‐Pinheiro, Tiago Baptista, Sara Monteiro‐Reis, Carlos Palmeira and Ana Teresa Martins. Their work appears in journals such as Oncotarget, Clinical Epigenetics, Frontiers in Pharmacology, Journal of Hematology & Oncology and Urologic Oncology Seminars and Original Investigations.

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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