Neda Zamani

1.8k citations
15 papers · 886 indexed · 1 hit paper · h-index 6
Topics
Genomics and Phylogenetic Studies (7 papers)Bioinformatics and Genomic Networks (3 papers)Machine Learning in Bioinformatics (2 papers)
Partner nations
SwedenIranUnited States

In The Last Decade

Neda Zamani

13 papers receiving 881 citations

Hit Papers

Evolution of Darwin’s finches and their beaks revealed by...20152026201820222015200400600

Peers

Neda Zamani
Comparison fields: 5 of 98
  • Genetics 527
  • Molecular Biology 348
  • Ecology, Evolution, Behavior and Systematics 202
  • Ecology 170
  • Plant Science 112
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Neda Zamani relative to Jeffrey M. DaCosta United States Jeffrey M. DaCosta's profile →
Citations per field
00.5×1.5×1.9×
Jeffrey M. DaCosta · 1×
Citations per year

Countries citing papers authored by Neda Zamani

Since Specialization
Citations

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

Fields of papers citing papers by Neda Zamani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Neda Zamani

This figure shows the co-authorship network connecting the top 25 collaborators of Neda Zamani. A scholar is included among the top collaborators of Neda Zamani 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 Neda Zamani. Neda Zamani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 0
2 5
3 5
4 1
5 108
6 5
7
The cost effectiveness of dynamic and static interspinous spacer for lumbar spinal stenosis compared with laminectomy.
3
8
Evolution of Darwin’s finches and their beaks revealed by genome sequencingbreakdown →
630
9 24
10 0
11 2
12 4
13
A case-control study of the relationship between gastric cancer and meat consumption in Iran.
27
14 44
15 28

About Neda Zamani

Neda Zamani is a scholar working on Otorhinolaryngology, Molecular Biology and Pharmacology, having authored 15 papers that have together received 886 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (7 papers), Bioinformatics and Genomic Networks (3 papers) and Machine Learning in Bioinformatics (2 papers). The work is most often cited by research in Genetics (527 citations), Ecological Modeling (55 citations) and Ecology, Evolution, Behavior and Systematics (202 citations). Neda Zamani has collaborated with scholars based in Sweden, Iran and United States. Frequent co-authors include Manfred Grabherr, Carl‐Johan Rubin, Álvaro Martínez Barrio, Khurram Maqbool, B. Rosemary Grant, Matthew T. Webster, Marta Promerová, Jonas Berglund, Peter R. Grant and Leif Andersson. Their work appears in journals such as Nature, Nature Communications and Bioinformatics.

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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