Tamar Paperna

1.8k citations
48 papers · 1.2k indexed · h-index 21
Topics
Multiple Sclerosis Research Studies (6 papers)BRCA gene mutations in cancer (5 papers)Genomics and Rare Diseases (4 papers)
Journals
Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaPLoS ONE

In The Last Decade

Tamar Paperna

43 papers receiving 1.2k citations

Peers

Tamar Paperna
Comparison fields: 5 of 109
  • Molecular Biology 524
  • Genetics 242
  • Pathology and Forensic Medicine 212
  • Immunology 143
  • Developmental Neuroscience 134
Replace Martin Begemann with:
Martin Begemann Germany
Jami Dwyer United States
Francesca Galbiati Italy
Jimmy Huynh United States
Yu‐Chia Chen Taiwan
Lara Kular Sweden
Orbicia Riccio Switzerland
Naresha Saligrama United States
Yuko Tanabe Japan
Willie Mark United States
Tamar Paperna relative to Martin Begemann Germany Martin Begemann's profile →
Citations per field
00.5×1.5×2.0×
Martin Begemann · 1×
Citations per year

Countries citing papers authored by Tamar Paperna

Since Specialization
Citations

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

Fields of papers citing papers by Tamar Paperna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tamar Paperna

This figure shows the co-authorship network connecting the top 25 collaborators of Tamar Paperna. A scholar is included among the top collaborators of Tamar Paperna 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 Tamar Paperna. Tamar Paperna 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 0
2 0
3 1
4 6
5 0
6 0
7 1
8 21
9 8
10 25
11 19
12 52
13 22
14 10
15 37
16 5
17 121
18 13
19 2
20 74

About Tamar Paperna

Tamar Paperna is a scholar working on Developmental Neuroscience, Pathology and Forensic Medicine and Immunology and Allergy, having authored 48 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (6 papers), BRCA gene mutations in cancer (5 papers) and Genomics and Rare Diseases (4 papers). The work is most often cited by research in Developmental Neuroscience (134 citations), Neurology (128 citations) and Pathology and Forensic Medicine (212 citations). Tamar Paperna has collaborated with scholars based in Israel, United States and Hungary. Frequent co-authors include Ariel Miller, Uta Francke, Lea Glass‐Marmor, Rafael Malach, Ruth Gershoni‐Baruch, Risa Peoples, Izabella Lejbkowicz, Efrat Dagan, L Kasinetz and Nili Avidan. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLoS ONE.

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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