Jorge Soares

68 papers receiving 5.3k citations

Jorge Soares's Hit Papers

SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments 2016 · 830 citations
8300+4+9Years since publication50010001.5k2.0k2.5k

Peers

Jorge Soares
Comparison fields: 5 of 138
  • Cancer Research 804
  • Molecular Medicine 213
  • Oncology 1.1k
  • Endocrinology 180
  • Toxicology 110
Replace Masanori Hatakeyama with:
Masanori Hatakeyama Japan
Curtis R. Chong United States
Mike Rothe United States
Gerrit Koopman Netherlands
Mei Hong China
Yasuaki Yamada Japan
Christian P. Sommerhoff Germany
Andrew Oberst United States
P A Campbell United States
Ratna B. Ray United States
Jorge Soares relative to Masanori Hatakeyama Japan Masanori Hatakeyama's profile →
Citations per field
00.5×2.5×
Masanori Hatakeyama · 1×
Citations per year

Countries citing papers authored by Jorge Soares

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Soares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 69 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Genomics of Drug Sensitivity in Cancer (GDSC): a resource for therapeutic biomarker discovery in cancer cells
Hit paper breakdown →
20122692
2
SNP-sites: rapid efficient extraction of SNPs from multi-FASTA alignments
Hit paper breakdown →
2016830
3 1999145
4 2005120
5 2004104
6 1993104
7 202182
8 199571
9 199466
10 200350
11 199149
12 200748
13 199648
14 199146
15 200146
16 199342
17 200140
18 199839
19 200139
20 199935

About Jorge Soares

Jorge Soares is a scholar working on Surgery, Pathology and Forensic Medicine, Oncology, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 69 papers that have together received 5.4k indexed citations. Recurring topics across this work include Salivary Gland Tumors Diagnosis and Treatment (17 papers), Ear and Head Tumors (10 papers), Tumors and Oncological Cases (7 papers), Thyroid Cancer Diagnosis and Treatment (7 papers), Genetic factors in colorectal cancer (7 papers), Oral and Maxillofacial Pathology (6 papers), Forensic Toxicology and Drug Analysis (5 papers) and Psychedelics and Drug Studies (4 papers). The work is most often cited by research in Cancer Research (804 citations), Molecular Medicine (213 citations), Oncology (1.1k citations), Endocrinology (180 citations) and Toxicology (110 citations). Jorge Soares has collaborated with scholars based in Portugal, United States and United Kingdom. Frequent co-authors include Howard Lightfoot, Michael R. Stratton, Mathew J. Garnett, Simon Forbes, Daniel A. Haber, Elena J. Edelman, Wanjuan Yang, Cyril H. Benes, Ultan McDermott and P. Andrew Futreal. Their work appears in journals such as Cancer, Journal of Surgical Oncology, Genes Chromosomes and Cancer, Pathobiology and Human Pathology.

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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