Tali Siegal

9.5k citations
121 papers · 5.2k · h-index 41

Impact in

  • Genetics top 0.2%
    • Glioma Diagnosis and Treatment
    • Virus-based gene therapy research
  • Neurology top 0.5%
    • CNS Lymphoma Diagnosis and Treatment

Papers in

    • Glioma Diagnosis and Treatment 60
    • CNS Lymphoma Diagnosis and Treatment 25

Tali Siegal

117 papers receiving 5.1k citations

Peers

Tali Siegal
Comparison fields: 5 of 121
  • Genetics 1.9k
  • Neurology 1.5k
  • Pathology and Forensic Medicine 1.2k
  • Oncology 1.3k
  • Pulmonary and Respiratory Medicine 1.3k
Replace Riccardo Saccardi with:
Riccardo Saccardi Italy
Jiří Bártek Denmark
Marc A. Shuman United States
Massimo Di Nicola Italy
Ehud Arbit United States
Mark L. Kahn United States
Ivan Borrello United States
Christine E. Brown United States
Reina Tanaka Japan
Shin Jung South Korea
Tali Siegal relative to Riccardo Saccardi Italy Riccardo Saccardi's profile →
Citations per field
00.5×3.0×
Riccardo Saccardi · 1×
Citations per year

Countries citing papers authored by Tali Siegal

Since Specialization
Citations

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

Fields of papers citing papers by Tali Siegal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Tali Siegal, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tali Siegal Line = papers co-authored together Tali Siegal links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005331
2 2007317
3 2000304
4 2015271
5 2010224
6 1995190
7 1997190
8 2009169
9 2000139
10 1985126
11 2006113
12 2010113
13 1990112
14 1978112
15 1992111
16 2018109
17 2016109
18 1998108
19 2007107
20 2006106

About Tali Siegal

Tali Siegal is a scholar working on Genetics, Neurology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Oncology, having authored 121 papers that have together received 5.2k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (60 papers), Brain Metastases and Treatment (35 papers), CNS Lymphoma Diagnosis and Treatment (25 papers), Lymphoma Diagnosis and Treatment (20 papers), Meningioma and schwannoma management (12 papers), Lung Cancer Research Studies (12 papers), MicroRNA in disease regulation (11 papers) and Management of metastatic bone disease (9 papers). The work is most often cited by research in Genetics (1.9k citations), Neurology (1.5k citations), Pathology and Forensic Medicine (1.2k citations), Oncology (1.3k citations) and Pulmonary and Respiratory Medicine (1.3k citations). Tali Siegal has collaborated with scholars based in Israel, United States and United Kingdom. Frequent co-authors include Alexander Lossos, Tzony Siegal, Alberto Gabizón, Felix Bokstein, Aviva T. Horowitz, John M. Gomori, Edward A. Neuwelt, Edna Shalom, Nissim Haim and Walter A. Hall. Their work appears in journals such as Journal of Neuro-Oncology, Cancer, Neurology, Neurosurgery and Neuro-Oncology.

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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