Immanuel Kwok

10.5k citations
12 papers · 3.5k indexed · 3 hit papers · h-index 8
Topics
Single-cell and spatial transcriptomics (3 papers)Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers)Immune cells in cancer (2 papers)

In The Last Decade

Immanuel Kwok

12 papers receiving 3.5k citations

Hit Papers

Dimensionality reduction for visualizing single-cell data...201820262020202320182019202450010001.5k2.0k2.5k

Peers

Immanuel Kwok
Comparison fields: 5 of 177
  • Molecular Biology 1.9k
  • Immunology 1.1k
  • Oncology 411
  • Cancer Research 401
  • Biophysics 310
Replace Wouter Saelens with:
Wouter Saelens Belgium
Qi Mao China
Ying Tang China
Philipp Angerer Germany
Roser Vento‐Tormo United Kingdom
Michael Morse United States
Ilya Korsunsky United States
José A. Fernández United Kingdom
Laleh Haghverdi Germany
Immanuel Kwok relative to Wouter Saelens Belgium Wouter Saelens's profile →
Citations per field
00.5×1.5×
Wouter Saelens · 1×
Citations per year

Countries citing papers authored by Immanuel Kwok

Since Specialization
Citations

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

Fields of papers citing papers by Immanuel Kwok

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Immanuel Kwok

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 9
2
Deciphering spatial domains from spatial multi-omics with SpatialGluebreakdown →
58
3 42
4 5
5 13
6
Fate Mapping via Ms4a3-Expression History Traces Monocyte-Derived Cellsbreakdown →
410
7 7
8
Dimensionality reduction for visualizing single-cell data using UMAPbreakdown →
2943
9 38
10 2
11 1
12 5

About Immanuel Kwok

Immanuel Kwok is a scholar working on Biophysics, Neurology and Immunology, having authored 12 papers that have together received 3.5k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (3 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers) and Immune cells in cancer (2 papers). The work is most often cited by research in Biophysics (310 citations), Immunology (1.1k citations) and Molecular Biology (1.9k citations). Immanuel Kwok has collaborated with scholars based in Singapore, China and United States. Frequent co-authors include Lai Guan Ng, Florent Ginhoux, Charles‐Antoine Dutertre, Leland McInnes, Étienne Becht, John Healy, Evan W. Newell, Zhaoyuan Liu, Jinmiao Chen and Zhiduo Liu. Their work appears in journals such as Cell, Nature Communications and Nature Biotechnology.

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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