Tim Van Acker

912 total citations
9 papers, 490 citations indexed

About

Tim Van Acker is a scholar working on Molecular Biology, Epidemiology and Immunology. According to data from OpenAlex, Tim Van Acker has authored 9 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Epidemiology and 3 papers in Immunology. Recurrent topics in Tim Van Acker's work include Autophagy in Disease and Therapy (4 papers), CRISPR and Genetic Engineering (3 papers) and Immune Response and Inflammation (2 papers). Tim Van Acker is often cited by papers focused on Autophagy in Disease and Therapy (4 papers), CRISPR and Genetic Engineering (3 papers) and Immune Response and Inflammation (2 papers). Tim Van Acker collaborates with scholars based in United Kingdom, Belgium and United States. Tim Van Acker's co-authors include Frank Peelman, Jan Tavernier, Jun-Ichi Sakamaki, Sharon A. Tooze, Kevin M. Ryan, Jaclyn S. Long, Maria I. New, Jim O’Prey, Ivan Đikić and Nilgun Tasdemir and has published in prestigious journals such as Journal of Biological Chemistry, Molecular Cell and Cancer Research.

In The Last Decade

Tim Van Acker

9 papers receiving 489 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tim Van Acker United Kingdom	9	271	176	128	74	62	9	490
Karolina Slowicka Belgium	9	237 0.9×	127 0.7×	161 1.3×	110 1.5×	42 0.7×	9	441
Sylvie Carmona France	6	325 1.2×	114 0.6×	89 0.7×	69 0.9×	52 0.8×	9	464
Barbara Zunino France	9	371 1.4×	219 1.2×	73 0.6×	160 2.2×	77 1.2×	11	621
Zuncai Wang United States	9	396 1.5×	248 1.4×	60 0.5×	122 1.6×	89 1.4×	9	644
Dongmeng Qian China	15	375 1.4×	163 0.9×	95 0.7×	111 1.5×	80 1.3×	43	590
Chelsea M. Ruller United States	11	295 1.1×	104 0.6×	111 0.9×	96 1.3×	108 1.7×	14	542
Stefanie Enzenmüller Germany	10	250 0.9×	104 0.6×	65 0.5×	83 1.1×	52 0.8×	15	392
Juei‐Suei Chen United States	6	283 1.0×	236 1.3×	41 0.3×	97 1.3×	94 1.5×	6	540
Xuehuo Zeng United States	9	320 1.2×	399 2.3×	50 0.4×	52 0.7×	51 0.8×	10	610
Andrew S. McNeal United States	8	396 1.5×	79 0.4×	48 0.4×	108 1.5×	140 2.3×	10	570

Countries citing papers authored by Tim Van Acker

Since Specialization

Citations

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

Fields of papers citing papers by Tim Van Acker

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Van Acker. 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 Tim Van Acker. The network helps show where Tim Van Acker may publish in the future.

Co-authorship network of co-authors of Tim Van Acker

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

All Works

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9 of 9 papers shown

1.

New, Maria I., Tim Van Acker, Jun-Ichi Sakamaki, et al.. (2019). MDH1 and MPP7 Regulate Autophagy in Pancreatic Ductal Adenocarcinoma. Cancer Research. 79(8). 1884–1898. 29 indexed citations

2.

Acker, Tim Van, Jan Tavernier, & Frank Peelman. (2019). The Small GTPase Arf6: An Overview of Its Mechanisms of Action and of Its Role in Host–Pathogen Interactions and Innate Immunity. International Journal of Molecular Sciences. 20(9). 2209–2209. 63 indexed citations

3.

New, Maria I., Tim Van Acker, Jaclyn S. Long, et al.. (2017). Molecular Pathways Controlling Autophagy in Pancreatic Cancer. Frontiers in Oncology. 7. 28–28. 45 indexed citations

4.

Sakamaki, Jun-Ichi, Simon Wilkinson, Nilgun Tasdemir, et al.. (2017). Bromodomain Protein BRD4 Is a Transcriptional Repressor of Autophagy and Lysosomal Function. Molecular Cell. 66(4). 517–532.e9. 182 indexed citations

5.

Sakamaki, Jun-Ichi, Jaclyn S. Long, Maria I. New, et al.. (2017). Emerging roles of transcriptional programs in autophagy regulation. Transcription. 9(2). 131–136. 19 indexed citations

6.

O’Prey, Jim, Jun-Ichi Sakamaki, Alice D. Baudot, et al.. (2016). Application of CRISPR/Cas9 to Autophagy Research. Methods in enzymology on CD-ROM/Methods in enzymology. 588. 79–108. 28 indexed citations

7.

Pauwels, Ewald, Tim Van Acker, Elien Ruyssinck, et al.. (2016). Reconstructing the TIR Side of the Myddosome: a Paradigm for TIR-TIR Interactions. Structure. 24(3). 437–447. 59 indexed citations

8.

Acker, Tim Van, Sven Eyckerman, Lieselotte Vande Walle, et al.. (2013). The Small GTPase Arf6 Is Essential for the Tram/Trif Pathway in TLR4 Signaling. Journal of Biological Chemistry. 289(3). 1364–1376. 26 indexed citations

9.

Acker, Tim Van, et al.. (2013). Identification of Binding Sites for Myeloid Differentiation Primary Response Gene 88 (MyD88) and Toll-like Receptor 4 in MyD88 Adapter-like (Mal). Journal of Biological Chemistry. 288(17). 12054–12066. 39 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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