Daniel Abankwa

5.7k total citations · 3 hit papers
68 papers, 3.9k citations indexed

About

Daniel Abankwa is a scholar working on Molecular Biology, Cell Biology and Oncology. According to data from OpenAlex, Daniel Abankwa has authored 68 papers receiving a total of 3.9k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 21 papers in Cell Biology and 10 papers in Oncology. Recurrent topics in Daniel Abankwa's work include Protein Kinase Regulation and GTPase Signaling (25 papers), Cellular transport and secretion (12 papers) and Lipid Membrane Structure and Behavior (8 papers). Daniel Abankwa is often cited by papers focused on Protein Kinase Regulation and GTPase Signaling (25 papers), Cellular transport and secretion (12 papers) and Lipid Membrane Structure and Behavior (8 papers). Daniel Abankwa collaborates with scholars based in Finland, Luxembourg and United States. Daniel Abankwa's co-authors include John F. Hancock, Alemayehu A. Gorfe, Robert G. Parton, Camilo Guzmán, Michele Bastiani, Jukka Westermarck, Amanpreet Kaur, Piers J. Walser, Susan J. Nixon and Michelle M. Hill and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Daniel Abankwa

64 papers receiving 3.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Cells Respond to Mechanical Stress by Rapid Disassembly of Caveolae

2011 699 citations Daniel Abankwa, Robert G. Parton et al. profile →
PTRF-Cavin, a Conserved Cytoplasmic Protein Required for Caveola Formation and Function

2008 570 citations Daniel Abankwa, John F. Hancock et al. profile →
ColonyArea: An ImageJ Plugin to Automatically Quantify Colony Formation in Clonogenic Assays

2014 469 citations Camilo Guzmán, Daniel Abankwa et al. PLoS ONE profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Abankwa Finland	25	2.8k	1.7k	516	398	279	68	3.9k
Rüdiger Woscholski United Kingdom	30	3.0k 1.1×	1.0k 0.6×	409 0.8×	412 1.0×	210 0.8×	74	4.1k
Jeffrey R. Peterson United States	34	2.9k 1.0×	1.0k 0.6×	277 0.5×	684 1.7×	333 1.2×	71	4.4k
Young‐Gyu Ko South Korea	32	2.3k 0.8×	707 0.4×	456 0.9×	268 0.7×	426 1.5×	62	3.4k
Boon Chuan Low Singapore	37	2.4k 0.9×	1.5k 0.9×	294 0.6×	435 1.1×	463 1.7×	108	3.8k
Huilin Zhou United States	39	5.3k 1.9×	1.4k 0.8×	250 0.5×	539 1.4×	416 1.5×	88	6.8k
Xuemei Han United States	25	2.0k 0.7×	780 0.5×	253 0.5×	273 0.7×	206 0.7×	44	2.9k
Sarah Cohen United States	23	2.0k 0.7×	704 0.4×	477 0.9×	160 0.4×	161 0.6×	48	3.4k
T Takenawa Japan	37	3.4k 1.2×	1.8k 1.1×	462 0.9×	516 1.3×	171 0.6×	75	4.6k
Steen H. Hansen Denmark	30	2.8k 1.0×	2.0k 1.2×	446 0.9×	575 1.4×	213 0.8×	49	4.5k
Luc G. Berthiaume Canada	31	2.3k 0.8×	1.0k 0.6×	360 0.7×	369 0.9×	269 1.0×	68	3.2k

Countries citing papers authored by Daniel Abankwa

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Abankwa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Abankwa

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

All Works

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20 of 20 papers shown

Schaffner‐Reckinger, Elisabeth, et al.. (2025). The impact of RAS on cell differentiation in health and disease. Biochemical Journal. 482(22). 1737–1756.

Pavic, Karolina, et al.. (2024). Protocol to measure and analyze protein interactions in mammalian cells using bioluminescence resonance energy transfer. STAR Protocols. 5(4). 103348–103348.

Schaffner‐Reckinger, Elisabeth, Ganesh babu Manoharan, Vladimir Vukić, et al.. (2024). An Improved PDE6D Inhibitor Combines with Sildenafil To Inhibit KRAS Mutant Cancer Cell Growth. Journal of Medicinal Chemistry. 67(11). 8569–8584. 8 indexed citations

Manoharan, Ganesh babu, Karolina Pavic, Matias Knuuttila, et al.. (2024). Identification of an H-Ras nanocluster disrupting peptide. Communications Biology. 7(1). 837–837. 7 indexed citations

Schaffner‐Reckinger, Elisabeth, et al.. (2023). Eliminating oncogenic RAS: back to the future at the drawing board. Biochemical Society Transactions. 51(1). 447–456. 15 indexed citations

Manoharan, Ganesh babu, et al.. (2023). K-Ras Binds Calmodulin-Related Centrin1 with Potential Implications for K-Ras Driven Cancer Cell Stemness. Cancers. 15(12). 3087–3087. 7 indexed citations

Ahearn, Ian M., Helen Court, Farid Ahmad Siddiqui, Daniel Abankwa, & Mark R. Philips. (2021). NRAS is unique among RAS proteins in requiring ICMT for trafficking to the plasma membrane. Life Science Alliance. 4(5). e202000972–e202000972. 7 indexed citations

Abankwa, Daniel & Alemayehu A. Gorfe. (2020). Mechanisms of Ras Membrane Organization and Signaling: Ras Rocks Again. Biomolecules. 10(11). 1522–1522. 34 indexed citations

Siddiqui, Farid Ahmad, et al.. (2019). Medium-Throughput Detection of Hsp90/Cdc37 Protein–Protein Interaction Inhibitors Using a Split Renilla Luciferase-Based Assay. SLAS DISCOVERY. 25(2). 195–206. 9 indexed citations

10.

Lectez, Benoît, et al.. (2017). Opposite feedback from mTORC1 to H-ras and K-ras4B downstream of SREBP1. Scientific Reports. 7(1). 8944–8944. 11 indexed citations

11.

Zhou, Yong, et al.. (2016). ASPP2 Is a Novel Pan-Ras Nanocluster Scaffold. PLoS ONE. 11(7). e0159677–e0159677. 17 indexed citations

12.

Blaževitš, Olga, Alessio Ligabue, Nicholas Ariotti, et al.. (2016). Galectin-1 dimers can scaffold Raf-effectors to increase H-ras nanoclustering. Scientific Reports. 6(1). 24165–24165. 62 indexed citations

13.

Najumudeen, Arafath K., Alok Jaiswal, Benoît Lectez, et al.. (2016). Cancer stem cell drugs target K-ras signaling in a stemness context. Oncogene. 35(40). 5248–5262. 74 indexed citations

14.

Najumudeen, Arafath K., et al.. (2015). Rab-NANOPS: FRET Biosensors for Rab Membrane Nanoclustering and Prenylation Detection in Mammalian Cells. Methods in molecular biology. 1298. 29–45. 5 indexed citations

15.

Najumudeen, Arafath K., Benoît Lectez, Yong Zhou, et al.. (2015). Phenotypic Screening Identifies Protein Synthesis Inhibitors as H-Ras-Nanocluster-Increasing Tumor Growth Inducers. Biochemistry. 54(49). 7212–7221. 7 indexed citations

16.

Guzmán, Camilo, Alessio Ligabue, Olga Blaževitš, et al.. (2014). The Efficacy of Raf Kinase Recruitment to the GTPase H-ras Depends on H-ras Membrane Conformer-specific Nanoclustering. Journal of Biological Chemistry. 289(14). 9519–9533. 39 indexed citations

17.

Guzmán, Camilo, et al.. (2013). Nanoclustering and Heterogeneous Membrane Diffusion of Ras Studied by FRAP and RICS Analysis. Methods in molecular biology. 1120. 307–326. 7 indexed citations

18.

Sykes, Alex M., Daniel Abankwa, Justine M. Hill, et al.. (2012). The Effects of Transmembrane Sequence and Dimerization on Cleavage of the p75 Neurotrophin Receptor by γ-Secretase. Journal of Biological Chemistry. 287(52). 43810–43824. 36 indexed citations

19.

Schmitt, Steven, Nicholas Ariotti, Andrew M. Piggott, et al.. (2012). Design and Application of In Vivo FRET Biosensors to Identify Protein Prenylation and Nanoclustering Inhibitors. Chemistry & Biology. 19(7). 866–874. 25 indexed citations

20.

Küry, Patrick, Daniel Abankwa, Fabian Kruse, Regine Greiner–Petter, & Hans Werner Müller. (2004). Gene expression profiling reveals multiple novel intrinsic and extrinsic factors associated with axonal regeneration failure. European Journal of Neuroscience. 19(1). 32–42. 25 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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