Niora Fabian

565 total citations
21 papers, 177 citations indexed

About

Niora Fabian is a scholar working on Small Animals, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Niora Fabian has authored 21 papers receiving a total of 177 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Small Animals, 4 papers in Biomedical Engineering and 3 papers in Epidemiology. Recurrent topics in Niora Fabian's work include Antibiotic Resistance in Bacteria (3 papers), Mycobacterium research and diagnosis (3 papers) and Avian ecology and behavior (2 papers). Niora Fabian is often cited by papers focused on Antibiotic Resistance in Bacteria (3 papers), Mycobacterium research and diagnosis (3 papers) and Avian ecology and behavior (2 papers). Niora Fabian collaborates with scholars based in United States, Switzerland and Hong Kong. Niora Fabian's co-authors include Junzō Uchiyama, Peter Bayliss, Valter Tucci, Donna Neuberg, Irina V. Zhdanova, Sang‐Bing Tsai, Shuji Kishi, Heidi S. Fisher, Gil G. Rosenthal and Gabriele Gerlach and has published in prestigious journals such as Advanced Materials, Nature Materials and Scientific Reports.

In The Last Decade

Niora Fabian

18 papers receiving 174 citations

Peers

Niora Fabian
Comparison fields: 5 of 79
  • Molecular Biology 46
  • Biomedical Engineering 31
  • Cell Biology 24
  • Physiology 24
  • Surgery 22
Replace Wael Khamas with:
Wael Khamas United States
Neal I. Callaghan Canada
M Bauerová Slovakia
Joanna Klećkowska‐Nawrot Poland
Masashi Yanagawa Japan
Jun Satoh Japan
Sayaka Yashima Japan
Nikos Papaioannou Greece
Dhanjit Kumar Das India
Douglas K Taylor United States
Wael Khamas United States View profile →
Citations per field, relative to Niora Fabian
Niora Fabian · 1×
Citations per year, relative to Niora Fabian
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Countries citing papers authored by Niora Fabian

Since Specialization
Citations

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

Fields of papers citing papers by Niora Fabian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niora Fabian

This figure shows the co-authorship network connecting the top 25 collaborators of Niora Fabian. A scholar is included among the top collaborators of Niora Fabian 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 Niora Fabian. Niora Fabian 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 4
2 0
3 3
4 1
5 2
6 0
7 2
8 13
9 4
10 1
11 2
12 5
13 23
14 1
15 3
16 9
17 4
18 15
19 66
20 19

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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