Laila Siam

15 total papers · 1.4k total citations
12 papers, 979 citations indexed

About

Laila Siam is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Surgery. According to data from OpenAlex, Laila Siam has authored 12 papers receiving a total of 979 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Pulmonary and Respiratory Medicine and 3 papers in Surgery. Recurrent topics in Laila Siam's work include Brain Metastases and Treatment (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Cancer-related gene regulation (2 papers). Laila Siam is often cited by papers focused on Brain Metastases and Treatment (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Cancer-related gene regulation (2 papers). Laila Siam collaborates with scholars based in Germany, United States and Russia. Laila Siam's co-authors include Nikolaus Marx, Arnold Schmidt, Vinzenz Hombach, Wolfgang Köenig, Jochen Ittner, Johannes M. Froehlich, Tobias Pukrop, Florian Klemm, Claudia R. Binder and Annalen Bleckmann and has published in prestigious journals such as Circulation, Arteriosclerosis Thrombosis and Vascular Biology and Carcinogenesis.

In The Last Decade

Laila Siam

12 papers receiving 957 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Laila Siam	475	251	228	185	151	12	979
Barbara Hertel	505 1.1×	171 0.7×	195 0.9×	105 0.6×	201 1.3×	14	1.0k
Gervaise H. Henry	434 0.9×	311 1.2×	151 0.7×	202 1.1×	119 0.8×	17	1.1k
Yueli Cui	614 1.3×	118 0.5×	141 0.6×	187 1.0×	109 0.7×	13	904
Debra G. Gilbertson	419 0.9×	110 0.4×	138 0.6×	184 1.0×	130 0.9×	15	1.1k
Beatriz Velasco	684 1.4×	199 0.8×	196 0.9×	284 1.5×	95 0.6×	24	1.2k
Arleen P. Loewy	590 1.2×	127 0.5×	178 0.8×	99 0.5×	94 0.6×	10	1.2k
Cathy Maass	442 0.9×	147 0.6×	186 0.8×	228 1.2×	139 0.9×	24	996
Shoukang Zhu	591 1.2×	176 0.7×	168 0.7×	197 1.1×	259 1.7×	19	1.2k
Shao-Qing Kuang	572 1.2×	274 1.1×	235 1.0×	141 0.8×	98 0.6×	17	1.1k
Marilyn M. Giacomini	339 0.7×	205 0.8×	247 1.1×	82 0.4×	89 0.6×	8	1.0k

Countries citing papers authored by Laila Siam

Since Specialization

Citations

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

Fields of papers citing papers by Laila Siam

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laila Siam

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

All Works

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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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