Vegi M. Naidu

1.2k total citations
26 papers, 916 citations indexed

About

Vegi M. Naidu is a scholar working on Molecular Biology, Hematology and Genetics. According to data from OpenAlex, Vegi M. Naidu has authored 26 papers receiving a total of 916 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 9 papers in Hematology and 5 papers in Genetics. Recurrent topics in Vegi M. Naidu's work include Acute Myeloid Leukemia Research (9 papers), Epigenetics and DNA Methylation (8 papers) and Cancer-related gene regulation (4 papers). Vegi M. Naidu is often cited by papers focused on Acute Myeloid Leukemia Research (9 papers), Epigenetics and DNA Methylation (8 papers) and Cancer-related gene regulation (4 papers). Vegi M. Naidu collaborates with scholars based in Germany, India and United States. Vegi M. Naidu's co-authors include Christian Buske, Michaela Feuring‐Buske, Georg W. Bornkamm, Tanja Weil, Sabyasachi Chakrabortty, Anne Stumper, Sven Rau, Benjamin Dietzek, C. L. Reichardt and Stephan Fischer and has published in prestigious journals such as Journal of the American Chemical Society, Blood and Circulation Research.

In The Last Decade

Vegi M. Naidu

26 papers receiving 912 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Vegi M. Naidu Germany 12 434 300 200 171 161 26 916
Kenneth T. Thurn United States 13 840 1.9× 141 0.5× 173 0.9× 97 0.6× 258 1.6× 15 1.4k
Kateřina Kuželová Czechia 19 511 1.2× 172 0.6× 115 0.6× 46 0.3× 126 0.8× 59 972
Kewen Hu China 11 609 1.4× 223 0.7× 211 1.1× 241 1.4× 94 0.6× 12 913
Wenchu Lin China 24 1.0k 2.4× 91 0.3× 194 1.0× 304 1.8× 224 1.4× 50 1.5k
Carmen M. Barnés United States 13 544 1.3× 184 0.6× 45 0.2× 184 1.1× 56 0.3× 16 1.1k
Hasmik Agadjanian United States 14 351 0.8× 191 0.6× 113 0.6× 56 0.3× 278 1.7× 22 776
Jacqueline Banyard United States 14 593 1.4× 124 0.4× 169 0.8× 266 1.6× 47 0.3× 18 1.1k
Waliul Islam Japan 14 359 0.8× 158 0.5× 602 3.0× 97 0.6× 188 1.2× 26 1.1k
Ada Gjyrezi United States 9 338 0.8× 385 1.3× 146 0.7× 205 1.2× 33 0.2× 15 833
Meysam Yousefi Iran 18 650 1.5× 144 0.5× 200 1.0× 232 1.4× 64 0.4× 28 1.0k

Countries citing papers authored by Vegi M. Naidu

Since Specialization
Citations

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

Fields of papers citing papers by Vegi M. Naidu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Vegi M. Naidu. 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 Vegi M. Naidu. The network helps show where Vegi M. Naidu may publish in the future.

Co-authorship network of co-authors of Vegi M. Naidu

This figure shows the co-authorship network connecting the top 25 collaborators of Vegi M. Naidu. A scholar is included among the top collaborators of Vegi M. Naidu 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 Vegi M. Naidu. Vegi M. Naidu 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
1.
Radhakrishna, Uppala, et al.. (2024). New Horizons in Cancer Progression and Metastasis: Hippo Signaling Pathway. Biomedicines. 12(11). 2552–2552. 2 indexed citations
2.
Kull, Miriam, et al.. (2023). Immunophenotypical profiling of myeloid neoplasms with erythroid predominance using mass cytometry (CyTOF). Cytometry Part A. 103(7). 551–562. 5 indexed citations
3.
Naidu, Vegi M., Tamoghna Mandal, Ursula Kohlhofer, et al.. (2021). TET3 promotes AML growth and epigenetically regulates glucose metabolism and leukemic stem cell associated pathways. Leukemia. 36(2). 416–425. 28 indexed citations
4.
Naidu, Vegi M., et al.. (2020). Arachidonic and eicosapentaenoic acids induce oxidative stress to suppress proliferation of human glioma cells. Archives of Medical Science. 16(4). 974–983. 10 indexed citations
5.
Naidu, Vegi M., Sabyasachi Chakrabortty, Seah Ling Kuan, et al.. (2020). Somatostatin receptor mediated targeting of acute myeloid leukemia by photodynamic metal complexes for light induced apoptosis. Scientific Reports. 10(1). 371–371. 13 indexed citations
6.
Thoene, Silvia, Tamoghna Mandal, Vegi M. Naidu, et al.. (2019). The ParaHox gene Cdx4 induces acute erythroid leukemia in mice. Blood Advances. 3(22). 3729–3739. 4 indexed citations
7.
Chakrabortty, Sabyasachi, Bikram Keshari Agrawalla, Anne Stumper, et al.. (2017). Mitochondria Targeted Protein-Ruthenium Photosensitizer for Efficient Photodynamic Applications. Journal of the American Chemical Society. 139(6). 2512–2519. 282 indexed citations
8.
Naidu, Vegi M., Franz Oswald, Medhanie Mulaw, et al.. (2016). MEIS2 Is an Oncogenic Partner in AML1-ETO-Positive AML. Cell Reports. 16(2). 498–507. 29 indexed citations
9.
He, Jing, Deniz Şahin, Fabio Ciccarone, et al.. (2016). The PARP Inhibitor Olaparib Antagonizes Leukemic Growth Induced By TET1 Overexpression in AML1-ETO Positive Acute Myeloid Leukemia. Blood. 128(22). 4063–4063. 3 indexed citations
10.
Canli, Özge, Sasker Grootjans, Vegi M. Naidu, et al.. (2015). Glutathione peroxidase 4 prevents necroptosis in mouse erythroid precursors. Blood. 127(1). 139–148. 201 indexed citations
11.
Stadler, Christiane, Vegi M. Naidu, Medhanie Mulaw, et al.. (2014). The leukemogenicity of Hoxa9 depends on alternative splicing. Leukemia. 28(9). 1838–1843. 13 indexed citations
12.
Wortmann, Markus, Manuela Schneider, Joachim Pircher, et al.. (2013). Combined Deficiency in Glutathione Peroxidase 4 and Vitamin E Causes Multiorgan Thrombus Formation and Early Death in Mice. Circulation Research. 113(4). 408–417. 126 indexed citations
13.
Naidu, Vegi M., Franz Oswald, Rainer Claus, et al.. (2012). AML1-ETO Collaborates with the TALE Homeobox Genes MEIS1 and MEIS2 in Inducing AML.. Blood. 120(21). 2387–2387. 1 indexed citations
14.
Vempati, Sridhar, Carola Reindl, Konstantin Petropoulos, et al.. (2008). Transformation by Oncogenic Mutants and Ligand-Dependent Activation of FLT3 Wild-type Requires the Tyrosine Residues 589 and 591. Clinical Cancer Research. 14(14). 4437–4445. 23 indexed citations
15.
Naidu, Vegi M., Vijay P.S. Rawat, Christina Schessl, et al.. (2008). AML1-ETO Collaborates with the Homeobox Gene Meis1 in Inducing Acute Leukemia in the Mouse Bone Marrow Transplantation Model.. Blood. 112(11). 928–928. 4 indexed citations
16.
Reddy, B. Mohan, L.V.K.S. Bhaskar, H. P. Singh, et al.. (2007). Anthropological Perspective of the Single Nucleotide Polymorphisms in the NPY and DRD2 Genes among the Socio-Economically Stratified Populations of Andhra Pradesh, India. International Journal of Human Genetics. 7(4). 277–284. 2 indexed citations
17.
Kumar, Vikrant, Vegi M. Naidu, Hardeep Singh, et al.. (2006). Global Patterns in Human Mitochondrial DNA and Y-Chromosome Variation Caused by Spatial Instability of the Local Cultural Processes. PLoS Genetics. 2(4). e53–e53. 43 indexed citations
19.
Reddy, B. Mohan, Vegi M. Naidu, Kumarasamy Thangaraj, et al.. (2005). Microsatellite Diversity in Andhra Pradesh, India: Genetic Stratification Versus Social Stratification. Human Biology. 77(6). 803–823. 28 indexed citations
20.
Naidu, Vegi M., et al.. (2004). STR data for the Amp FlSTR Profiler Plus loci among 27 populations of different social hierarchy from southern part of Andhra Pradesh, India. Forensic Science International. 149(1). 81–97. 8 indexed citations

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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