Mahak Singhal

1.5k total citations
18 papers, 884 citations indexed

About

Mahak Singhal is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Mahak Singhal has authored 18 papers receiving a total of 884 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 8 papers in Oncology and 6 papers in Cancer Research. Recurrent topics in Mahak Singhal's work include Cancer, Hypoxia, and Metabolism (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Cancer Cells and Metastasis (3 papers). Mahak Singhal is often cited by papers focused on Cancer, Hypoxia, and Metabolism (5 papers), Angiogenesis and VEGF in Cancer (5 papers) and Cancer Cells and Metastasis (3 papers). Mahak Singhal collaborates with scholars based in Germany, United States and India. Mahak Singhal's co-authors include Hellmut G. Augustin, Nicolas Gengenbacher, Karin Müller‐Decker, Sven Christian, Kshitij Srivastava, Mauricio Berriel Díaz, Marcos Ríos García, Holger Hess‐Stumpp, Frits Mattijssen and Peter P. Nawroth and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Clinical Investigation and The Journal of Experimental Medicine.

In The Last Decade

Mahak Singhal

18 papers receiving 878 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mahak Singhal Germany 14 506 321 302 128 86 18 884
Xiong Jin South Korea 20 630 1.2× 299 0.9× 275 0.9× 148 1.2× 125 1.5× 42 1.1k
Christine Mehner United States 14 423 0.8× 339 1.1× 284 0.9× 96 0.8× 77 0.9× 23 849
Anna M. Chiarella United States 8 652 1.3× 322 1.0× 282 0.9× 114 0.9× 149 1.7× 13 967
Hans Petter Eikesdal Norway 19 496 1.0× 412 1.3× 292 1.0× 98 0.8× 106 1.2× 41 987
Thomas R. Geiger United States 10 627 1.2× 422 1.3× 245 0.8× 129 1.0× 87 1.0× 14 1.0k
Kam Sprott United States 12 756 1.5× 376 1.2× 276 0.9× 156 1.2× 111 1.3× 31 1.2k
Elvin Wagenblast United States 9 589 1.2× 434 1.4× 301 1.0× 98 0.8× 97 1.1× 21 923
Ridha Limame Belgium 12 453 0.9× 265 0.8× 273 0.9× 76 0.6× 68 0.8× 17 774
Eloïse M. Grasset France 8 478 0.9× 454 1.4× 282 0.9× 146 1.1× 93 1.1× 10 952
Takeshi Motohara Japan 14 634 1.3× 427 1.3× 333 1.1× 107 0.8× 122 1.4× 29 1.1k

Countries citing papers authored by Mahak Singhal

Since Specialization
Citations

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

Fields of papers citing papers by Mahak Singhal

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mahak Singhal

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

All Works

18 of 18 papers shown
1.
Wiedmann, Felix, Manuel Winkler, Charlotta Funaya, et al.. (2025). A perfusion-independent high-throughput method to isolate liver sinusoidal endothelial cells. Communications Biology. 8(1). 22–22. 2 indexed citations
2.
Mack, Norman, S. Öhl, Thomas Hielscher, et al.. (2023). Sphingosine-1-Phosphate Recruits Macrophages and Microglia and Induces a Pro-Tumorigenic Phenotype That Favors Glioma Progression. Cancers. 15(2). 479–479. 13 indexed citations
3.
Dobreva, Gergana, et al.. (2023). Role of endothelial PDGFB in arterio-venous malformations pathogenesis. Angiogenesis. 27(2). 193–209. 5 indexed citations
4.
Shen, Ying, Xiaohong Wang, Yi Liu, et al.. (2021). STAT3-YAP/TAZ signaling in endothelial cells promotes tumor angiogenesis. Science Signaling. 14(712). eabj8393–eabj8393. 90 indexed citations
5.
O’Connor, Marie, David Kallenberg, Carlotta Camilli, et al.. (2021). LRG1 destabilizes tumor vessels and restricts immunotherapeutic potency. Med. 2(11). 1231–1252.e10. 38 indexed citations
6.
Gengenbacher, Nicolas, Mahak Singhal, Carolin Mogler, et al.. (2020). Timed Ang2-Targeted Therapy Identifies the Angiopoietin–Tie Pathway as Key Regulator of Fatal Lymphogenous Metastasis. Cancer Discovery. 11(2). 424–445. 21 indexed citations
7.
Singhal, Mahak, Carolin Mogler, Nicolas Gengenbacher, et al.. (2020). Tumor Cell–Derived Angiopoietin-2 Promotes Metastasis in Melanoma. Cancer Research. 80(12). 2586–2598. 30 indexed citations
8.
Singhal, Mahak, Nicolas Gengenbacher, Jingjing Shi, et al.. (2020). Preclinical validation of a novel metastasis‐inhibiting Tie1 function‐blocking antibody. EMBO Molecular Medicine. 12(6). e11164–e11164. 13 indexed citations
9.
Singhal, Mahak, et al.. (2020). Emerging paradigms in metastasis research. The Journal of Experimental Medicine. 218(1). 19 indexed citations
10.
Singhal, Mahak & Hellmut G. Augustin. (2019). Beyond Angiogenesis: Exploiting Angiocrine Factors to Restrict Tumor Progression and Metastasis. Cancer Research. 80(4). 659–662. 29 indexed citations
11.
Roth, Lise, Mahak Singhal, Carolin Mogler, et al.. (2018). Endothelial Tie1–mediated angiogenesis and vascular abnormalization promote tumor progression and metastasis. Journal of Clinical Investigation. 128(2). 834–845. 73 indexed citations
12.
Singhal, Mahak, Donato Inverso, Kai Jiang, et al.. (2018). Endothelial cell fitness dictates the source of regenerating liver vasculature. The Journal of Experimental Medicine. 215(10). 2497–2508. 28 indexed citations
13.
Gengenbacher, Nicolas, Mahak Singhal, & Hellmut G. Augustin. (2017). Preclinical mouse solid tumour models: status quo, challenges and perspectives. Nature reviews. Cancer. 17(12). 751–765. 211 indexed citations
14.
García, Marcos Ríos, Kshitij Srivastava, Mahak Singhal, et al.. (2017). Acetyl-CoA Carboxylase 1-Dependent Protein Acetylation Controls Breast Cancer Metastasis and Recurrence. Cell Metabolism. 26(6). 842–855.e5. 206 indexed citations
15.
Singhal, Mahak, Chirag Chopra, Satish Srinivasan, et al.. (2016). Threonine 209 phosphorylation on RUNX3 by Pak1 is a molecular switch for its dualistic functions. Oncogene. 35(37). 4857–4865. 8 indexed citations
16.
Jagadeeshan, Sankar, Saravana Babu Chidambaram, Mahak Singhal, et al.. (2016). Molecular Mechanism of Regulation of MTA1 Expression by Granulocyte Colony-stimulating Factor. Journal of Biological Chemistry. 291(23). 12310–12321. 12 indexed citations
17.
Jagadeeshan, Sankar, Mahak Singhal, Swetha Raghavan, et al.. (2016). P21-activated kinase 1 (Pak1) signaling influences therapeutic outcome in pancreatic cancer. Annals of Oncology. 27(8). 1546–1556. 37 indexed citations
18.
Jagadeeshan, Sankar, Mahak Singhal, Jayadev Mavuluri, et al.. (2014). Transcriptional regulation of fibronectin by p21-activated kinase-1 modulates pancreatic tumorigenesis. Oncogene. 34(4). 455–464. 49 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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