Salma Baig

725 total citations · 1 hit paper
6 papers, 367 citations indexed

About

Salma Baig is a scholar working on Molecular Biology, Neurology and Genetics. According to data from OpenAlex, Salma Baig has authored 6 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 3 papers in Neurology and 2 papers in Genetics. Recurrent topics in Salma Baig's work include Single-cell and spatial transcriptomics (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Glioma Diagnosis and Treatment (2 papers). Salma Baig is often cited by papers focused on Single-cell and spatial transcriptomics (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers) and Glioma Diagnosis and Treatment (2 papers). Salma Baig collaborates with scholars based in Canada, Malaysia and Netherlands. Salma Baig's co-authors include Redouane Allache, Marie‐Christine Guiot, Phuong Uyen Le, Kevin Petrecca, Javad Nadaf, Jiannis Ragoussis, Jack P. Antel, Charles Couturier, Jean Monlong and Guillaume Bourque and has published in prestigious journals such as Cell, Nature Communications and Glia.

In The Last Decade

Salma Baig

6 papers receiving 366 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.

Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy

2020 312 citations Charles Couturier, Shamini Ayyadhury et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Salma Baig Canada	5	228	175	125	80	67	6	367
Shamini Ayyadhury Canada	5	230 1.0×	156 0.9×	125 1.0×	85 1.1×	102 1.5×	8	409
Changseok Lee Canada	3	207 0.9×	154 0.9×	119 1.0×	76 0.9×	54 0.8×	3	319
Charles Couturier Canada	7	268 1.2×	197 1.1×	153 1.2×	91 1.1×	95 1.4×	10	456
Karin Shamardani United States	5	262 1.1×	213 1.2×	132 1.1×	77 1.0×	109 1.6×	6	399
Seamus P. Caragher United States	9	172 0.8×	189 1.1×	78 0.6×	89 1.1×	52 0.8×	13	376
Dirk C. Hoffmann Germany	10	141 0.6×	108 0.6×	51 0.4×	69 0.9×	42 0.6×	20	302
Julia Grosch Germany	5	168 0.7×	128 0.7×	59 0.5×	105 1.3×	43 0.6×	5	361
Mareike Holz Germany	7	187 0.8×	175 1.0×	177 1.4×	119 1.5×	108 1.6×	7	412
Jonas Blaes Germany	9	192 0.8×	143 0.8×	95 0.8×	128 1.6×	56 0.8×	14	434
Jessica Tomé-García United States	10	178 0.8×	104 0.6×	100 0.8×	60 0.8×	36 0.5×	17	342

Countries citing papers authored by Salma Baig

Since Specialization

Citations

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

Fields of papers citing papers by Salma Baig

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Salma Baig

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

All Works

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6 of 6 papers shown

1.

Baig, Salma, Javad Nadaf, Redouane Allache, et al.. (2024). Identity and nature of neural stem cells in the adult human subventricular zone. iScience. 27(4). 109342–109342. 10 indexed citations

2.

Baig, Salma & Frank Winkler. (2024). A holistic view of the malignant organism we call glioblastoma. Cell. 187(2). 271–273. 4 indexed citations

3.

Yaqubi, Moein, Salma Baig, Qiao‐Ling Cui, et al.. (2022). Regional and age‐related diversity of human mature oligodendrocytes. Glia. 70(10). 1938–1949. 12 indexed citations

4.

Couturier, Charles, Javad Nadaf, Zhaorong Li, et al.. (2022). Glioblastoma scRNA-seq shows treatment-induced, immune-dependent increase in mesenchymal cancer cells and structural variants in distal neural stem cells. Neuro-Oncology. 24(9). 1494–1508. 23 indexed citations

5.

Couturier, Charles, Shamini Ayyadhury, Phuong Uyen Le, et al.. (2020). Single-cell RNA-seq reveals that glioblastoma recapitulates a normal neurodevelopmental hierarchy. Nature Communications. 11(1). 3406–3406. 312 indexed citations breakdown →

6.

Baig, Salma, Hanumantha Rao Balaji Raghavendran, Elango Natarajan, et al.. (2019). Effect of Chitosan Nanoparticle-Loaded Thymus serpyllum on Hydrogen Peroxide-Induced Bone Marrow Stromal Cell Damage. Stem Cells International. 2019. 1–12. 6 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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