Giridhar Mudduluru

2.6k total citations
30 papers, 2.1k citations indexed

About

Giridhar Mudduluru is a scholar working on Molecular Biology, Cancer Research and Oncology. According to data from OpenAlex, Giridhar Mudduluru has authored 30 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 16 papers in Cancer Research and 5 papers in Oncology. Recurrent topics in Giridhar Mudduluru's work include MicroRNA in disease regulation (12 papers), RNA modifications and cancer (6 papers) and Cancer-related molecular mechanisms research (5 papers). Giridhar Mudduluru is often cited by papers focused on MicroRNA in disease regulation (12 papers), RNA modifications and cancer (6 papers) and Cancer-related molecular mechanisms research (5 papers). Giridhar Mudduluru collaborates with scholars based in Germany, United States and France. Giridhar Mudduluru's co-authors include Heike Allgayer, Regalla Kumarswamy, Paolo Ceppi, Santoshi Muppala, Giorgio V. Scagliotti, Laura D. Nelson, Irfan A. Asangani, Ida Rapa, Mauro Papotti and M. Papotti and has published in prestigious journals such as Journal of Biological Chemistry, PLoS ONE and Cancer.

In The Last Decade

Giridhar Mudduluru

29 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Giridhar Mudduluru Germany 22 1.6k 1.1k 437 327 126 30 2.1k
Matjaž Rokavec Germany 18 1.2k 0.8× 1.1k 1.0× 591 1.4× 244 0.7× 162 1.3× 30 1.9k
Mina Maftouh Iran 26 1.2k 0.8× 752 0.7× 648 1.5× 197 0.6× 189 1.5× 39 1.9k
Quintin Pan United States 24 1.2k 0.8× 442 0.4× 631 1.4× 146 0.4× 163 1.3× 44 1.8k
Jöerg H. Leupold Germany 9 1.8k 1.2× 1.6k 1.5× 279 0.6× 129 0.4× 97 0.8× 9 2.2k
Qingxia Fan China 30 1.4k 0.9× 996 0.9× 717 1.6× 157 0.5× 486 3.9× 111 2.3k
Shangqin Guo United States 22 1.5k 1.0× 732 0.7× 431 1.0× 386 1.2× 120 1.0× 37 2.6k
Ce Li China 24 1.1k 0.7× 758 0.7× 624 1.4× 310 0.9× 201 1.6× 70 1.7k
Jason R. Pitarresi United States 15 959 0.6× 467 0.4× 830 1.9× 358 1.1× 256 2.0× 36 1.8k
Younghyoun Yoon United States 17 853 0.5× 430 0.4× 936 2.1× 615 1.9× 96 0.8× 31 1.8k
Shujuan Shao China 23 1.3k 0.8× 690 0.6× 311 0.7× 162 0.5× 205 1.6× 61 1.8k

Countries citing papers authored by Giridhar Mudduluru

Since Specialization
Citations

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

Fields of papers citing papers by Giridhar Mudduluru

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giridhar Mudduluru

This figure shows the co-authorship network connecting the top 25 collaborators of Giridhar Mudduluru. A scholar is included among the top collaborators of Giridhar Mudduluru 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 Giridhar Mudduluru. Giridhar Mudduluru 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.
Mudduluru, Giridhar, et al.. (2020). Impedance-based Real-time Measurement of Cancer Cell Migration and Invasion. Journal of Visualized Experiments. 6 indexed citations
2.
Mudduluru, Giridhar, et al.. (2017). Epigenetic silencing of miR-520c leads to induced S100A4 expression and its mediated colorectal cancer progression. Oncotarget. 8(13). 21081–21094. 24 indexed citations
3.
Dahlmann, Mathias, Dennis Kobelt, Wolfgang Walther, Giridhar Mudduluru, & Ulrike Stein. (2016). S100A4 in Cancer Metastasis: Wnt Signaling-Driven Interventions for Metastasis Restriction. Cancers. 8(6). 59–59. 82 indexed citations
4.
Fuchs, Steffen, et al.. (2016). MACC1 is post-transcriptionally regulated by miR-218 in colorectal cancer. Oncotarget. 7(33). 53443–53458. 24 indexed citations
5.
Mudduluru, Giridhar, et al.. (2016). Abstract 1095: S100A4 is post-transcriptionally inhibited by miR-505-5p and miR-520c-3p in colorectal cancer. Cancer Research. 76(14_Supplement). 1095–1095.
6.
Mudduluru, Giridhar, Mohammed Abba, Jasmin Batliner, et al.. (2015). A Systematic Approach to Defining the microRNA Landscape in Metastasis. Cancer Research. 75(15). 3010–3019. 50 indexed citations
7.
Abba, Mohammed, Nitin Patil, Suhail Ahmed Kabeer Rasheed, et al.. (2013). Unraveling the Role of FOXQ1 in Colorectal Cancer Metastasis. Molecular Cancer Research. 11(9). 1017–1028. 30 indexed citations
8.
Moreno-Mateos, Miguel A., Verónica Barragán, Belén Torres, et al.. (2013). Novel small RNA expression libraries uncover hsa-miR-30b and hsa-miR-30c as important factors in anoikis resistance. RNA. 19(12). 1711–1725. 10 indexed citations
9.
Muppala, Santoshi, Giridhar Mudduluru, Jörg H. Leupold, et al.. (2013). CD24 Induces Expression of the Oncomir miR-21 via Src, and CD24 and Src Are Both Post-Transcriptionally Downregulated by the Tumor Suppressor miR-34a. PLoS ONE. 8(3). e59563–e59563. 32 indexed citations
10.
Abba, Mohammed, Nitin Patil, Suhail Ahmed Kabeer Rasheed, et al.. (2013). Abstract 2703: A direct regulation of Twist1 by FOXQ1 promotes colorectal cancer metastasis.. Cancer Research. 73(8_Supplement). 2703–2703. 1 indexed citations
11.
Nelson, Laura D., Christian Bender, Heiko Mannsperger, et al.. (2012). Triplex DNA-binding proteins are associated with clinical outcomes revealed by proteomic measurements in patients with colorectal cancer. Molecular Cancer. 11(1). 38–38. 28 indexed citations
12.
Kumarswamy, Regalla, Giridhar Mudduluru, Paolo Ceppi, et al.. (2011). MicroRNA‐30a inhibits epithelial‐to‐mesenchymal transition by targeting Snai1 and is downregulated in non‐small cell lung cancer. International Journal of Cancer. 130(9). 2044–2053. 240 indexed citations
13.
Mudduluru, Giridhar, Peter Vajkoczy, & Heike Allgayer. (2010). Myeloid Zinc Finger 1 Induces Migration, Invasion, and In vivo Metastasis through Axl Gene Expression in Solid Cancer. Molecular Cancer Research. 8(2). 159–169. 103 indexed citations
14.
Ceppi, Paolo, Giridhar Mudduluru, Regalla Kumarswamy, et al.. (2010). Loss of miR-200c Expression Induces an Aggressive, Invasive, and Chemoresistant Phenotype in Non–Small Cell Lung Cancer. Molecular Cancer Research. 8(9). 1207–1216. 256 indexed citations
15.
Mudduluru, Giridhar, et al.. (2010). Enzastaurin inhibits invasion and metastasis in lung cancer by diverse molecules. British Journal of Cancer. 103(6). 802–811. 20 indexed citations
16.
Mudduluru, Giridhar, Jörg H. Leupold, Philipp Stroebel, & Heike Allgayer. (2010). PMA up-regulates the transcription of Axl by AP-1 transcription factor binding to TRE sequences via the MAPK cascade in leukaemia cells. Biology of the Cell. 103(1). 21–33. 38 indexed citations
17.
Buergy, Daniel, Patryk Kambakamba, Giridhar Mudduluru, et al.. (2009). Prognostic impact of extracellular matrix metalloprotease inducer. Cancer. 115(20). 4667–4678. 22 indexed citations
18.
Buergy, Daniel, Theresia Weber, Gabriele D. Maurer, et al.. (2009). Urokinase receptor, MMP‐1 and MMP‐9 are markers to differentiate prognosis, adenoma and carcinoma in thyroid malignancies. International Journal of Cancer. 125(4). 894–901. 53 indexed citations
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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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