Mubeen Goolam

1.5k total citations · 1 hit paper
17 papers, 932 citations indexed

About

Mubeen Goolam is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Pediatrics, Perinatology and Child Health. According to data from OpenAlex, Mubeen Goolam has authored 17 papers receiving a total of 932 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 3 papers in Cellular and Molecular Neuroscience and 3 papers in Pediatrics, Perinatology and Child Health. Recurrent topics in Mubeen Goolam's work include Pluripotent Stem Cells Research (10 papers), Pregnancy and preeclampsia studies (2 papers) and Single-cell and spatial transcriptomics (2 papers). Mubeen Goolam is often cited by papers focused on Pluripotent Stem Cells Research (10 papers), Pregnancy and preeclampsia studies (2 papers) and Single-cell and spatial transcriptomics (2 papers). Mubeen Goolam collaborates with scholars based in South Africa, United Kingdom and United States. Mubeen Goolam's co-authors include Magdalena Zernicka‐Goetz, Iain C. Macaulay, Thierry Voet, Agnieszka Jędrusik, Antonio Scialdone, John C. Marioni, Sarah J. L. Graham, Anna Hupalowska, Mabel Teng and Miriam Smith and has published in prestigious journals such as Cell, Nature Communications and Development.

In The Last Decade

Mubeen Goolam

14 papers receiving 923 citations

Hit Papers

G&T-seq: parallel sequencing of single-cell genomes and t... 2015 2026 2018 2022 2015 100 200 300 400 500

Peers

Mubeen Goolam
Comparison fields: 5 of 71
  • Molecular Biology 822
  • Cancer Research 286
  • Biophysics 101
  • Oncology 84
  • Immunology 82
Replace Swati Parekh with:
Swati Parekh Germany
Noa Sher Israel
Vidur Garg United States
Carolina Guibentif Sweden
Derek Peters United States
Mathilde Broekhuis Netherlands
José Alquicira-Hernández Australia
Michelle Moksa Canada
Lesley Shirley United Kingdom
Bastiaan Spanjaard Germany
Swati Parekh Germany View profile →
Citations per field, relative to Mubeen Goolam
Mubeen Goolam · 1×
Citations per year, relative to Mubeen Goolam
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Countries citing papers authored by Mubeen Goolam

Since Specialization
Citations

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

Fields of papers citing papers by Mubeen Goolam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mubeen Goolam

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

All Works

17 of 17 papers shown
# Work Indexed citations
1 0
2 0
3 0
4 1
5 1
6 9
7 2
8 7
9 1
10 3
11 10
12 9
13 17
14 17
15 323
16 3
17
G&T-seq: parallel sequencing of single-cell genomes and transcriptomes breakdown →
529

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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