Cristina Lanata

2.5k citations
36 papers · 994 indexed · 1 hit paper · h-index 13
Topics
Systemic Lupus Erythematosus Research (26 papers)Atherosclerosis and Cardiovascular Diseases (8 papers)Autoimmune and Inflammatory Disorders Research (7 papers)
Journals
Nature CommunicationsSHILAP Revista de lepidopterologíaNature Biotechnology

In The Last Decade

Cristina Lanata

34 papers receiving 982 citations

Hit Papers

Multiplexed droplet single-cell RNA-sequencing using natu...20172026202020232017100200300400500

Peers

Cristina Lanata
Comparison fields: 5 of 99
  • Molecular Biology 485
  • Rheumatology 311
  • Immunology 280
  • Cancer Research 137
  • Genetics 85
Replace Minggao Liang with:
Minggao Liang Canada
Erinn L. Donnelly United States
Amy M. Becker United States
Kevin Tse United States
Francesco Pinto Italy
Kilian M. Gust Austria
Panagiotis Georgiou Greece
Margaret A. Taub United States
Boel Brynedal Sweden
T. Zheng United States
Cristina Lanata relative to Minggao Liang Canada Minggao Liang's profile →
Citations per field
00.5×5.8×
Minggao Liang · 1×
Citations per year

Countries citing papers authored by Cristina Lanata

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Lanata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Lanata

This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Lanata. A scholar is included among the top collaborators of Cristina Lanata based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Cristina Lanata. Cristina Lanata is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 1
3 1
4 10
5 0
6 1
7 1
8 15
9 9
10 7
11 8
12 18
13 24
14
Barriers to Rheumatologic Care and Antimalarial Refills Among a Cohort of Patients with Systemic Lupus Erythematosus During the COVID-19 Pandemic
2
15 34
16 4
17 5
18 38
19 34
20 6

About Cristina Lanata

Cristina Lanata is a scholar working on Rheumatology, Hematology and Immunology, having authored 36 papers that have together received 994 indexed citations. Recurring topics across this work include Systemic Lupus Erythematosus Research (26 papers), Atherosclerosis and Cardiovascular Diseases (8 papers) and Autoimmune and Inflammatory Disorders Research (7 papers). The work is most often cited by research in Rheumatology (311 citations), Immunology (280 citations) and Biophysics (73 citations). Cristina Lanata has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Lindsey A. Criswell, Chun Ye, Lenka Maliskova, Eunice Wan, Alexander Marson, Sara Mostafavi, Michelle Nguyen, Lauren Byrnes, Elizabeth McCarthy and Sasha Targ. Their work appears in journals such as Nature Communications, SHILAP Revista de lepidopterología and Nature Biotechnology.

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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