Manda S. Krishnaveni

767 total citations
10 papers, 656 citations indexed

About

Manda S. Krishnaveni is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Cancer Research. According to data from OpenAlex, Manda S. Krishnaveni has authored 10 papers receiving a total of 656 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Cancer Research. Recurrent topics in Manda S. Krishnaveni's work include TGF-β signaling in diseases (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Neonatal Respiratory Health Research (3 papers). Manda S. Krishnaveni is often cited by papers focused on TGF-β signaling in diseases (4 papers), Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers) and Neonatal Respiratory Health Research (3 papers). Manda S. Krishnaveni collaborates with scholars based in United States, Germany and Ireland. Manda S. Krishnaveni's co-authors include Zea Borok, Beiyun Zhou, Parviz Minoo, Edward D. Crandall, Agnes Banfalvi, David K. Ann, Qian Zhong, Per Flodby, Yiming Xing and Lucas DeMaio and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and PLoS ONE.

In The Last Decade

Manda S. Krishnaveni

10 papers receiving 647 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manda S. Krishnaveni United States 6 355 294 87 86 82 10 656
Agnes Banfalvi United States 6 302 0.9× 161 0.5× 78 0.9× 41 0.5× 85 1.0× 7 482
Kotaro Mizuno Japan 10 173 0.5× 280 1.0× 61 0.7× 164 1.9× 58 0.7× 38 548
Forough Taghavifar United States 8 298 0.8× 199 0.7× 28 0.3× 60 0.7× 89 1.1× 11 529
Yuji Tada Japan 16 454 1.3× 326 1.1× 31 0.4× 163 1.9× 62 0.8× 38 855
Brian Belyea United States 13 172 0.5× 367 1.2× 59 0.7× 86 1.0× 35 0.4× 22 579
Naomi Kawano Japan 13 213 0.6× 160 0.5× 64 0.7× 181 2.1× 154 1.9× 39 657
Claire M. Robinson Ireland 10 115 0.3× 363 1.2× 80 0.9× 70 0.8× 88 1.1× 13 624
Miriam Koch Germany 10 348 1.0× 184 0.6× 98 1.1× 130 1.5× 68 0.8× 12 840
M.T. Allende Spain 13 150 0.4× 184 0.6× 55 0.6× 165 1.9× 72 0.9× 25 589
Tomoko Seya Japan 15 155 0.4× 259 0.9× 79 0.9× 241 2.8× 194 2.4× 42 675

Countries citing papers authored by Manda S. Krishnaveni

Since Specialization
Citations

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

Fields of papers citing papers by Manda S. Krishnaveni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Manda S. Krishnaveni. 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 Manda S. Krishnaveni. The network helps show where Manda S. Krishnaveni may publish in the future.

Co-authorship network of co-authors of Manda S. Krishnaveni

This figure shows the co-authorship network connecting the top 25 collaborators of Manda S. Krishnaveni. A scholar is included among the top collaborators of Manda S. Krishnaveni 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 Manda S. Krishnaveni. Manda S. Krishnaveni is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Flodby, Per, Janice M. Liebler, Mitsuhiro Sunohara, et al.. (2016). Region-specific role for Pten in maintenance of epithelial phenotype and integrity. American Journal of Physiology-Lung Cellular and Molecular Physiology. 312(1). L131–L142. 5 indexed citations
2.
3.
Zhou, Beiyun, Stephen T. Buckley, Vipul Patel, et al.. (2012). Troglitazone Attenuates TGF-β1-Induced EMT in Alveolar Epithelial Cells via a PPARγ-Independent Mechanism. PLoS ONE. 7(6). e38827–e38827. 30 indexed citations
4.
DeMaio, Lucas, Stephen T. Buckley, Manda S. Krishnaveni, et al.. (2011). Ligand‐independent transforming growth factor‐β type I receptor signalling mediates type I collagen‐induced epithelial–mesenchymal transition. The Journal of Pathology. 226(4). 633–644. 46 indexed citations
5.
6.
Zhong, Qian, Beiyun Zhou, David K. Ann, et al.. (2010). Role of Endoplasmic Reticulum Stress in Epithelial–Mesenchymal Transition of Alveolar Epithelial Cells. American Journal of Respiratory Cell and Molecular Biology. 45(3). 498–509. 161 indexed citations
7.
Li, Min, Manda S. Krishnaveni, Changgong Li, et al.. (2010). Epithelium-specific deletion of TGF-β receptor type II protects mice from bleomycin-induced pulmonary fibrosis. Journal of Clinical Investigation. 121(1). 277–287. 181 indexed citations
8.
Krishnaveni, Manda S., Jakob Lerche Hansen, Werner Seeger, et al.. (2006). Constitutive homo- and hetero-oligomerization of TβRII-B, an alternatively spliced variant of the mouse TGF-β type II receptor. Biochemical and Biophysical Research Communications. 351(3). 651–657. 6 indexed citations
9.
Krishnaveni, Manda S. & Oliver Eickelberg. (2006). TGF-β receptors: Assembly, signalling, and disease relevance. 6(5). 301–313. 3 indexed citations
10.
Krishnaveni, Manda S. & Oliver Eickelberg. (2006). TGF-β receptors: Assembly, signalling, and disease relevance. 6(5). 301–313. 2 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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