Samuel W. Lukowski

2.5k citations
39 papers · 1.2k · h-index 21

Impact in

    • Escherichia coli research studies
  • Immunology top 10%
    • Reproductive System and Pregnancy
    • Immune cells in cancer
    • T-cell and B-cell Immunology

Papers in

    • Single-cell and spatial transcriptomics 8
    • CRISPR and Genetic Engineering 4
    • Immune Cell Function and Interaction 6
    • Immune cells in cancer 5
    • T-cell and B-cell Immunology 4
    • Immunotherapy and Immune Responses 4

Samuel W. Lukowski

38 papers receiving 1.2k citations

Peers

Samuel W. Lukowski
Comparison fields: 5 of 105
  • Endocrinology 91
  • Immunology 341
  • Molecular Medicine 73
  • Reproductive Medicine 123
  • Obstetrics and Gynecology 104
Replace David L. Caudell with:
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Citations per field
00.5×3.8×
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Citations per year

Countries citing papers authored by Samuel W. Lukowski

Since Specialization
Citations

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

Fields of papers citing papers by Samuel W. Lukowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Samuel W. Lukowski. 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 Samuel W. Lukowski. The network helps show where Samuel W. Lukowski may publish in the future.

Co-authors

The 25 scholars most cited alongside Samuel W. Lukowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Samuel W. Lukowski Line = papers co-authored together Samuel W. Lukowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013141
2 202097
3 201490
4 201881
5 201981
6 201874
7 202151
8 201639
9 201837
10 201936
11 201835
12 202033
13 201833
14 201927
15 201426
16 201925
17 201724
18 202223
19 201922
20 201421

About Samuel W. Lukowski

Samuel W. Lukowski is a scholar working on Molecular Biology, Immunology, Epidemiology, Cancer Research and Genetics, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (8 papers), Immune Cell Function and Interaction (6 papers), Cancer-related molecular mechanisms research (6 papers), Immune cells in cancer (5 papers), Endometrial and Cervical Cancer Treatments (4 papers), CRISPR and Genetic Engineering (4 papers), T-cell and B-cell Immunology (4 papers) and Immunotherapy and Immune Responses (4 papers). The work is most often cited by research in Endocrinology (91 citations), Immunology (341 citations), Molecular Medicine (73 citations), Reproductive Medicine (123 citations) and Obstetrics and Gynecology (104 citations). Samuel W. Lukowski has collaborated with scholars based in Australia, Switzerland and United Kingdom. Frequent co-authors include Joseph E. Powell, Daniel C. Chambers, Anne Senabouth, Quan Nguyen, Stacey B. Andersen, A. E. O. Trezise, Ian H. Frazer, Mark A. Schembri, Kate M. Peters and Sohinee Sarkar. Their work appears in journals such as Nature Communications, iScience, Genome Research, JCI Insight and Human Reproduction.

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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