Veena Rajaram

2.4k citations
60 papers · 1.6k indexed · h-index 21

Impact in

  • Genetics top 2%
    • Glioma Diagnosis and Treatment
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

    • Glioma Diagnosis and Treatment 19
    • Neurofibromatosis and Schwannoma Cases 6
    • Neuroblastoma Research and Treatments 5

Veena Rajaram

60 papers receiving 1.6k citations

Peers

Veena Rajaram
Comparison fields: 5 of 97
  • Genetics 425
  • Cancer Research 273
  • Neurology 240
  • Obstetrics and Gynecology 123
  • Molecular Biology 784
Replace Gian Luigi Taddei with:
Gian Luigi Taddei Italy
Francesca Megiorni Italy
Francisco J. Blanco Spain
Ingrid Laurendeau France
Mariona Suñol Spain
Christopher L. Tinkle United States
Fumiko Itoh Japan
Philippe Bertolino France
H. J. Altermatt Switzerland
Elina Armstrong Finland
Veena Rajaram relative to Gian Luigi Taddei Italy Gian Luigi Taddei's profile →
Citations per field
00.5×2.5×
Gian Luigi Taddei · 1×
Citations per year

Countries citing papers authored by Veena Rajaram

Since Specialization
Citations

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

Fields of papers citing papers by Veena Rajaram

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Veena Rajaram, 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 Veena Rajaram Line = papers co-authored together Veena Rajaram links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20254
2 20217
3 20214
4 20211
5 2018160
6 2018107
7 201727
8 201720
9 20169
10 201240
11 201235
12 201164
13 201196
14 201178
15 20115
16 201034
17 20098
18 20079
19 20031
20 20012

About Veena Rajaram

Veena Rajaram is a scholar working on Genetics, Neurology, Cancer Research, Molecular Biology and Genetics, having authored 60 papers that have together received 1.6k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (19 papers), Epigenetics and DNA Methylation (11 papers), Neurofibromatosis and Schwannoma Cases (6 papers), Chromatin Remodeling and Cancer (5 papers), Neuroblastoma Research and Treatments (5 papers), Hedgehog Signaling Pathway Studies (5 papers), Sarcoma Diagnosis and Treatment (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Genetics (425 citations), Cancer Research (273 citations), Neurology (240 citations), Obstetrics and Gynecology (123 citations) and Molecular Biology (784 citations). Veena Rajaram has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include Arie Perry, Stewart Goldman, Tadanori Tomita, Marcelo B. Soares, Maria de Fátima Bonaldo, John D. Pfeifer, Hehuang Xie, Min Wang, Daniel J. Brat and Jennifer O. Black. Their work appears in journals such as Child s Nervous System, Modern Pathology, Nucleic Acids Research, Pediatric and Developmental Pathology and Journal of 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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