Mehreen Ali

511 total citations
7 papers, 209 citations indexed

About

Mehreen Ali is a scholar working on Molecular Biology, Statistics and Probability and Materials Chemistry. According to data from OpenAlex, Mehreen Ali has authored 7 papers receiving a total of 209 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 3 papers in Statistics and Probability and 2 papers in Materials Chemistry. Recurrent topics in Mehreen Ali's work include Machine Learning in Materials Science (2 papers), Statistical Methods and Inference (2 papers) and Gene expression and cancer classification (2 papers). Mehreen Ali is often cited by papers focused on Machine Learning in Materials Science (2 papers), Statistical Methods and Inference (2 papers) and Gene expression and cancer classification (2 papers). Mehreen Ali collaborates with scholars based in Finland, United Kingdom and Germany. Mehreen Ali's co-authors include Tero Aittokallio, Suleiman A. Khan, Krister Wennerberg, Matti Pirinen, Marjo‐Riitta Järvelin, Mika Ala‐Korpela, Jussi Gillberg, Antti J. Kangas, Pasi Soininen and Samuel Kaski and has published in prestigious journals such as Bioinformatics, Journal of Machine Learning Research and BMC Medical Research Methodology.

In The Last Decade

Mehreen Ali

6 papers receiving 203 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mehreen Ali Finland	5	136	76	44	23	17	7	209
Pooya Zakeri Belgium	8	219 1.6×	62 0.8×	31 0.7×	23 1.0×	13 0.8×	10	277
Mingkun Lu China	9	224 1.6×	114 1.5×	43 1.0×	20 0.9×	28 1.6×	16	346
Huaicheng Sun China	7	233 1.7×	82 1.1×	93 2.1×	31 1.3×	14 0.8×	10	366
George Alexandru Adam Canada	3	117 0.9×	92 1.2×	42 1.0×	41 1.8×	24 1.4×	4	242
Chayaporn Suphavilai Singapore	9	156 1.1×	82 1.1×	49 1.1×	16 0.7×	22 1.3×	14	228
Runyu Jing China	10	247 1.8×	57 0.8×	27 0.6×	14 0.6×	13 0.8×	46	314
Suleiman A. Khan Finland	12	255 1.9×	150 2.0×	50 1.1×	47 2.0×	22 1.3×	24	386
Óscar Álvarez-Machancoses Spain	8	93 0.7×	50 0.7×	21 0.5×	37 1.6×	25 1.5×	13	276
Sangseon Lee South Korea	12	235 1.7×	93 1.2×	54 1.2×	60 2.6×	15 0.9×	40	363
Muhammad Ammad-ud-din Finland	8	205 1.5×	160 2.1×	42 1.0×	31 1.3×	27 1.6×	14	289

Countries citing papers authored by Mehreen Ali

Since Specialization

Citations

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

Fields of papers citing papers by Mehreen Ali

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mehreen Ali

This figure shows the co-authorship network connecting the top 25 collaborators of Mehreen Ali. A scholar is included among the top collaborators of Mehreen Ali 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 Mehreen Ali. Mehreen Ali 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:

7 of 7 papers shown

1.

Mehtälä, Juha, Mehreen Ali, Timo Miettinen, et al.. (2023). Utilization of anonymization techniques to create an external control arm for clinical trial data. BMC Medical Research Methodology. 23(1). 258–258. 1 indexed citations

2.

Iftikhar, Raheel, et al.. (2022). TREATMENT OUTCOMES OF PATIENTS WITH NEWLY DIAGNOSED ACUTE PROMYELOCYTIC LEUKEMIA; EXPERIENCE FROM A DEVELOPING COUNTRY. Journal of Ayub Medical College Abbottabad. 34(4). 795–800.

3.

Ali, Mehreen & Tero Aittokallio. (2018). Machine learning and feature selection for drug response prediction in precision oncology applications. Biophysical Reviews. 11(1). 31–39. 145 indexed citations

4.

Ali, Mehreen, Suleiman A. Khan, Krister Wennerberg, & Tero Aittokallio. (2017). Global proteomics profiling improves drug sensitivity prediction: results from a multi-omics, pan-cancer modeling approach. Bioinformatics. 34(8). 1353–1362. 46 indexed citations

5.

Gillberg, Jussi, Pekka Marttinen, Matti Pirinen, et al.. (2016). Multiple output regression with latent noise. Journal of Machine Learning Research. 17(1). 4170–4204. 6 indexed citations

6.

Ali, Mehreen, et al.. (2015). Study of Different Types of Noise and Its Effects in Communication Systems. International Journal of Engineering and Management Research. 5(2). 410–413. 4 indexed citations

7.

Gillberg, Jussi, Pekka Marttinen, Matti Pirinen, et al.. (2014). Multiple Output Regression with Latent Noise. Explore Bristol Research. 7 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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