A. Malik

3.1k total citations
9 papers, 173 citations indexed

About

A. Malik is a scholar working on Molecular Biology, Oncology and Cell Biology. According to data from OpenAlex, A. Malik has authored 9 papers receiving a total of 173 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Oncology and 3 papers in Cell Biology. Recurrent topics in A. Malik's work include Microtubule and mitosis dynamics (3 papers), Cancer Cells and Metastasis (3 papers) and Mathematical Biology Tumor Growth (2 papers). A. Malik is often cited by papers focused on Microtubule and mitosis dynamics (3 papers), Cancer Cells and Metastasis (3 papers) and Mathematical Biology Tumor Growth (2 papers). A. Malik collaborates with scholars based in Sweden, United States and Germany. A. Malik's co-authors include Philip Gerlee, Colleen M. Niswender, Xinmin Xie, Gary A. Sulikowski, J. Scott Daniels, Kristian Kaufmann, Liya Yang, Emily Days, Ryan D. Morrison and Bende Zou and has published in prestigious journals such as PLoS Computational Biology, Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment and Bulletin of Mathematical Biology.

In The Last Decade

A. Malik

8 papers receiving 170 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Malik Sweden	6	109	83	23	19	16	9	173
Christina Schüler Germany	7	124 1.1×	75 0.9×	11 0.5×	13 0.7×	17 1.1×	8	227
Trevor Doyle United States	11	198 1.8×	165 2.0×	12 0.5×	8 0.4×	8 0.5×	14	301
Theresa Scattergood United States	5	117 1.1×	100 1.2×	21 0.9×	5 0.3×	15 0.9×	7	220
Scott Hobson Germany	7	121 1.1×	93 1.1×	35 1.5×	12 0.6×	38 2.4×	19	244
Amy Benians United Kingdom	7	348 3.2×	209 2.5×	48 2.1×	35 1.8×	7 0.4×	7	374
Xiaonan Cui United States	7	210 1.9×	119 1.4×	10 0.4×	26 1.4×	10 0.6×	10	306
Liqi He United States	5	71 0.7×	43 0.5×	21 0.9×	69 3.6×	5 0.3×	5	253
Natalia Nikolaeva United States	7	259 2.4×	208 2.5×	18 0.8×	4 0.2×	18 1.1×	10	376
Marisol Escriche Spain	8	316 2.9×	224 2.7×	8 0.3×	34 1.8×	10 0.6×	11	421
Miller B. Jones United States	7	309 2.8×	105 1.3×	18 0.8×	69 3.6×	3 0.2×	8	344

Countries citing papers authored by A. Malik

Since Specialization

Citations

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

Fields of papers citing papers by A. Malik

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Malik

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

All Works

Sort: Min cites: Since: Top N: Style:

9 of 9 papers shown

1.

Malik, A., et al.. (2025). Mathematical modeling of multicellular tumor spheroids quantifies inter-patient and intra-tumor heterogeneity. npj Systems Biology and Applications. 11(1). 20–20.

2.

Raza, Muhammad Asam, et al.. (2023). TRENDS AND APPLICATIONS OF BIG DATA IN EDUCATION. Pakistan Journal of Science. 75(2). 345–352. 1 indexed citations

3.

Gerlee, Philip, Philipp M. Altrock, A. Malik, Cecilia Krona, & Sven Nelander. (2022). Autocrine signaling can explain the emergence of Allee effects in cancer cell populations. PLoS Computational Biology. 18(3). e1009844–e1009844. 11 indexed citations

4.

Malik, A., et al.. (2021). Cell polarisation in a bulk-surface model can be driven by both classic and non-classic Turing instability. npj Systems Biology and Applications. 7(1). 13–13. 5 indexed citations

5.

Malik, A., Bernt Wennberg, & Philip Gerlee. (2020). The Impact of Elastic Deformations of the Extracellular Matrix on Cell Migration. Bulletin of Mathematical Biology. 82(4). 49–49. 9 indexed citations

6.

Malik, A. & Philip Gerlee. (2019). Mathematical modelling of cell migration: stiffness dependent jump rates result in durotaxis. Journal of Mathematical Biology. 78(7). 2289–2315. 9 indexed citations

7.

Malik, A. & Muhammad Minan Chusni. (2018). Pengantar Statistika Pendidikan: Teori dan Aplikasi. 8 indexed citations

8.

Kaufmann, Kristian, Ian M. Romaine, Emily Days, et al.. (2013). ML297 (VU0456810), the First Potent and Selective Activator of the GIRK Potassium Channel, Displays Antiepileptic Properties in Mice. ACS Chemical Neuroscience. 4(9). 1278–1286. 125 indexed citations

9.

Edgington, J.A., H. Gemmeke, Jan Hesselbarth, et al.. (1993). The laser calibration monitor of the KARMEN scintillation calorimeter. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 336(1-2). 136–145. 5 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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