Seema Dangwal

3.4k total citations
27 papers, 1.2k citations indexed

About

Seema Dangwal is a scholar working on Molecular Biology, Cancer Research and Surgery. According to data from OpenAlex, Seema Dangwal has authored 27 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Cancer Research and 4 papers in Surgery. Recurrent topics in Seema Dangwal's work include MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (7 papers) and Circular RNAs in diseases (6 papers). Seema Dangwal is often cited by papers focused on MicroRNA in disease regulation (10 papers), Cancer-related molecular mechanisms research (7 papers) and Circular RNAs in diseases (6 papers). Seema Dangwal collaborates with scholars based in Germany, United States and United Kingdom. Seema Dangwal's co-authors include Thomas Thum, Regalla Kumarswamy, Ingo Volkmann, Virginija Jazbutyte, Da‐Hee Park, Johan M. Lorenzen, Claudia Bang, Jan Fiedler, Bernd Stratmann and Claus Jürgen Scholz and has published in prestigious journals such as Circulation, Circulation Research and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Seema Dangwal

27 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Seema Dangwal Germany 18 684 538 187 172 158 27 1.2k
Basak Icli United States 18 1.2k 1.8× 952 1.8× 149 0.8× 207 1.2× 153 1.0× 27 1.9k
Yaoxiang Sun China 17 1.2k 1.8× 570 1.1× 229 1.2× 60 0.3× 189 1.2× 23 1.6k
Xiaoxiang Tian China 21 526 0.8× 208 0.4× 33 0.2× 132 0.8× 181 1.1× 62 1.1k
Venkata Naga Srikanth Garikipati United States 22 825 1.2× 410 0.8× 34 0.2× 287 1.7× 209 1.3× 59 1.3k
Guodong Tie United States 12 348 0.5× 96 0.2× 119 0.6× 55 0.3× 180 1.1× 25 770
Fu‐Xing‐Zi Li China 17 798 1.2× 433 0.8× 25 0.1× 102 0.6× 80 0.5× 32 1.2k
Hamish Prosser Australia 14 226 0.3× 96 0.2× 173 0.9× 178 1.0× 216 1.4× 18 684
Saher Hamed Israel 13 289 0.4× 55 0.1× 181 1.0× 107 0.6× 115 0.7× 19 792
Mikhail Menshikov Russia 20 379 0.6× 174 0.3× 23 0.1× 118 0.7× 170 1.1× 79 981
Yuan Guo China 21 327 0.5× 139 0.3× 110 0.6× 129 0.8× 249 1.6× 78 1.1k

Countries citing papers authored by Seema Dangwal

Since Specialization
Citations

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

Fields of papers citing papers by Seema Dangwal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Seema Dangwal

This figure shows the co-authorship network connecting the top 25 collaborators of Seema Dangwal. A scholar is included among the top collaborators of Seema Dangwal 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 Seema Dangwal. Seema Dangwal 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.
Caliskan, Aylin, Seema Dangwal, & Thomas Dandekar. (2023). Metadata integrity in bioinformatics: Bridging the gap between data and knowledge. Computational and Structural Biotechnology Journal. 21. 4895–4913. 7 indexed citations
2.
Caliskan, Aylin, et al.. (2022). Progeria and Aging—Omics Based Comparative Analysis. Biomedicines. 10(10). 2440–2440. 8 indexed citations
3.
4.
Chang, Wei‐Ting, Sudeshna Fisch, Seema Dangwal, et al.. (2021). MicroRNA-21 regulates right ventricular remodeling secondary to pulmonary arterial pressure overload. Journal of Molecular and Cellular Cardiology. 154. 106–114. 10 indexed citations
5.
Chang, Wei‐Ting, Sudeshna Fisch, Seema Dangwal, et al.. (2021). Angiotensin II blockers improve cardiac coronary flow under hemodynamic pressure overload. Hypertension Research. 44(7). 803–812. 2 indexed citations
6.
Tellechea, Ana, Sha Bai, Seema Dangwal, et al.. (2019). Topical Application of a Mast Cell Stabilizer Improves Impaired Diabetic Wound Healing. Journal of Investigative Dermatology. 140(4). 901–911.e11. 60 indexed citations
7.
Unno, Kazumasa, Angelos Oikonomopoulos, Yusuke Fujikawa, et al.. (2019). Alteration in ventricular pressure stimulates cardiac repair and remodeling. Journal of Molecular and Cellular Cardiology. 133. 174–187. 5 indexed citations
8.
Jha, Alokkumar, Mathieu d’Aquin, Seema Dangwal, et al.. (2019). GenomicsKG: A Knowledge Graph to Visualize Poly-Omics Data. 1(2). 70–84. 2 indexed citations
9.
Dangwal, Seema, Filippo Martino, Sándor Bátkai, et al.. (2018). Abstract 251: miRNA Mapping of Cardiac Endothelial and Fibroblast Cells during Hypertrophy Progression. Arteriosclerosis Thrombosis and Vascular Biology. 38(Suppl_1). 1 indexed citations
10.
Dangwal, Seema, Katharina Schimmel, Ariana Foinquinos, Ke Xiao, & Thomas Thum. (2016). Noncoding RNAs in Heart Failure. Handbook of experimental pharmacology. 243. 423–445. 33 indexed citations
11.
Lankisch, Tim O., Torsten Voigtländer, Michael P. Manns, et al.. (2014). MicroRNAs in the bile of patients with biliary strictures after liver transplantation. Liver Transplantation. 20(6). 673–678. 20 indexed citations
12.
Fischer, Dagmar‐Christiane, Seema Dangwal, Ingo Volkmann, et al.. (2014). Diabetes-Associated MicroRNAs in Pediatric Patients With Type 1 Diabetes Mellitus: A Cross-Sectional Cohort Study. The Journal of Clinical Endocrinology & Metabolism. 99(9). E1661–E1665. 130 indexed citations
13.
Dangwal, Seema & Thomas Thum. (2013). MicroRNAs in platelet physiology and pathology. Hämostaseologie. 33(1). 17–20. 17 indexed citations
14.
Volkmann, Ingo, Regalla Kumarswamy, Nils Pfaff, et al.. (2013). MicroRNA-Mediated Epigenetic Silencing of Sirtuin1 Contributes to Impaired Angiogenic Responses. Circulation Research. 113(8). 997–1003. 46 indexed citations
15.
Lorenzen, Johan M., Regalla Kumarswamy, Seema Dangwal, & Thomas Thum. (2012). MicroRNAs in diabetes and diabetes-associated complications. RNA Biology. 9(6). 820–827. 52 indexed citations
16.
Dangwal, Seema & Thomas Thum. (2012). MicroRNAs in platelet biogenesis and function. Thrombosis and Haemostasis. 108(10). 599–604. 42 indexed citations
17.
Dangwal, Seema, Claudia Bang, & Thomas Thum. (2011). Novel techniques and targets in cardiovascular microRNA research. Cardiovascular Research. 93(4). 545–554. 56 indexed citations
18.
Rauch, Bernhard H., Seema Dangwal, Kerstin Freidel, et al.. (2011). Redox regulation of human protease-activated receptor-2 by activated factor X. Free Radical Biology and Medicine. 51(9). 1758–1764. 17 indexed citations
19.
Tutarel, Oktay, Seema Dangwal, Mechthild Westhoff‐Bleck, et al.. (2011). Circulating miR-423_5p fails as a biomarker for systemic ventricular function in adults after atrial repair for transposition of the great arteries. International Journal of Cardiology. 167(1). 63–66. 48 indexed citations
20.
Balaraman, R, Seema Dangwal, & Mahalaxmi Mohan. (2006). Antihypertensive Effect ofTrigonella foenum-greacum. Seeds in Experimentally Induced Hypertension in Rats. Pharmaceutical Biology. 44(8). 568–575. 31 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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