Daniela Elena Serban

2.1k total citations
22 papers, 353 citations indexed

About

Daniela Elena Serban is a scholar working on Genetics, Epidemiology and Surgery. According to data from OpenAlex, Daniela Elena Serban has authored 22 papers receiving a total of 353 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Genetics, 10 papers in Epidemiology and 8 papers in Surgery. Recurrent topics in Daniela Elena Serban's work include Inflammatory Bowel Disease (10 papers), Microscopic Colitis (7 papers) and Gut microbiota and health (3 papers). Daniela Elena Serban is often cited by papers focused on Inflammatory Bowel Disease (10 papers), Microscopic Colitis (7 papers) and Gut microbiota and health (3 papers). Daniela Elena Serban collaborates with scholars based in Romania, Netherlands and Italy. Daniela Elena Serban's co-authors include Giovanni Pellacani, Francesca Farnetani, María Magdalena Constantin, Sorin Claudiu Man, Dan L. Dumitraşcu, Oana Şerban, Marina Aloi, Claudio Romano, Vaidotas Urbonas and Massimo Martinelli and has published in prestigious journals such as Cancer Letters, Pediatric Research and Inflammatory Bowel Diseases.

In The Last Decade

Daniela Elena Serban

21 papers receiving 339 citations

Peers

Daniela Elena Serban
Comparison fields: 5 of 76
  • Genetics 134
  • Molecular Biology 131
  • Epidemiology 99
  • Surgery 84
  • Food Science 75
Replace Yannick Derwa with:
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K. L. Blackett United Kingdom
Patrycja Szachta Poland
Laura H. Raffals United States
Lorenzo Zileri Dal Verme Italy
Yezaz A. Ghouri United States
Jessica Connors Canada
Štěpán Coufal Czechia
J. Bishop United Kingdom
A. R. Barclay United Kingdom
Yannick Derwa United Kingdom View profile →
Citations per field, relative to Daniela Elena Serban
Daniela Elena Serban · 1×
Citations per year, relative to Daniela Elena Serban
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Countries citing papers authored by Daniela Elena Serban

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Elena Serban

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniela Elena Serban. 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 Daniela Elena Serban. The network helps show where Daniela Elena Serban may publish in the future.

Co-authorship network of co-authors of Daniela Elena Serban

This figure shows the co-authorship network connecting the top 25 collaborators of Daniela Elena Serban. A scholar is included among the top collaborators of Daniela Elena Serban 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 Daniela Elena Serban. Daniela Elena Serban 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
# Work Indexed citations
1 2
2 1
3 4
4 4
5 4
6 8
7 1
8 9
9 0
10 3
11 23
12 30
13
Role of In Vivo Reflectance Confocal Microscopy in the Analysis of Melanocytic Lesions.
16
14 1
15 6
16 28
17 63
18 114
19
The gut microbiota in the metagenomics era: sometimes a friend, sometimes a foe.
16
20 17

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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