Aniela Jakubowski

2.9k citations
26 papers · 2.2k · h-index 19

Impact in

Papers in

    • Cell death mechanisms and regulation 4
    • Immunotherapy and Immune Responses 3
    • Toxin Mechanisms and Immunotoxins 3

Aniela Jakubowski

26 papers receiving 2.2k citations

Peers

Aniela Jakubowski
Comparison fields: 5 of 89
  • Nephrology 371
  • Immunology and Allergy 284
  • Cancer Research 700
  • Hepatology 251
  • Immunology 632
Replace Jonathan H. Axelrod with:
Jonathan H. Axelrod Israel
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Solange Moll Switzerland
Yuichi Sugisaki Japan
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Mark C. Wilkes United States
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Citations per field
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Citations per year

Countries citing papers authored by Aniela Jakubowski

Since Specialization
Citations

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

Fields of papers citing papers by Aniela Jakubowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Aniela Jakubowski, 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 Aniela Jakubowski Line = papers co-authored together Aniela Jakubowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011331
2 2005330
3 2007237
4 2008168
5 2010133
6 1991116
7 2002105
8 2009100
9 200989
10 199589
11 201085
12 200984
13 199276
14 200861
15 199439
16 202338
17 202137
18 199534
19 201319
20
Molecular mapping with functional antibodies localizes critical sites on the human IL receptor common gamma (gamma c) chain.
199815

About Aniela Jakubowski

Aniela Jakubowski is a scholar working on Molecular Biology, Immunology, Immunology and Allergy, Cancer Research and Radiology, Nuclear Medicine and Imaging, having authored 26 papers that have together received 2.2k indexed citations. Recurring topics across this work include NF-κB Signaling Pathways (7 papers), Cell Adhesion Molecules Research (7 papers), Cell death mechanisms and regulation (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Platelet Disorders and Treatments (3 papers), Immunotherapy and Immune Responses (3 papers), Toxin Mechanisms and Immunotoxins (3 papers) and Liver physiology and pathology (2 papers). The work is most often cited by research in Nephrology (371 citations), Immunology and Allergy (284 citations), Cancer Research (700 citations), Hepatology (251 citations) and Immunology (632 citations). Aniela Jakubowski has collaborated with scholars based in United States, Spain and United Kingdom. Frequent co-authors include Linda C. Burkly, Jennifer S. Michaelson, Timothy S. Zheng, Alberto Ortíz, Jesús Egido, Ana B. Sanz, María Dolores Sánchez-Niño, Marta Ruiz‐Ortega, Julia Blanco and Kyungmin Hahm. Their work appears in journals such as PLoS ONE, Cytokine, Journal of the American Society of Nephrology, Journal of Clinical Investigation and The Journal of Immunology.

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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