Ferdinand Lali

1.4k citations
22 papers · 1.2k · h-index 13

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
  • Biomaterials top 10%
    • Electrospun Nanofibers in Biomedical Applications

Papers in

    • Cytokine Signaling Pathways and Interactions 8
    • Electrospun Nanofibers in Biomedical Applications 6

Ferdinand Lali

21 papers receiving 1.1k citations

Peers

Ferdinand Lali
Comparison fields: 5 of 104
  • Immunology 329
  • Biomaterials 112
  • Oncology 227
  • Cancer Research 120
  • Immunology and Allergy 47
Replace Ralph Pries with:
Ralph Pries Germany
Liangpeng Li China
Vaijayanti Kale India
Guanghui Li China
Kyu Sang Song South Korea
Hirohiko Ise Japan
Zhijun Jiao China
Dadi Jin China
A.-M. Zuurmond Netherlands
Ferdinand Lali relative to Ralph Pries Germany Ralph Pries's profile →
Citations per field
00.5×1.5×
Ralph Pries · 1×
Citations per year

Countries citing papers authored by Ferdinand Lali

Since Specialization
Citations

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

Fields of papers citing papers by Ferdinand Lali

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000275
2 1997231
3 201186
4 202080
5 200970
6 202166
7 200864
8 199553
9 201250
10 200436
11 202133
12 200231
13 199930
14 201212
15 19979
16 20258
17 20006
18 20216
19 20214
20 20242

About Ferdinand Lali

Ferdinand Lali is a scholar working on Oncology, Biomaterials, Surgery, Molecular Biology and Biomedical Engineering, having authored 22 papers that have together received 1.2k indexed citations. Recurring topics across this work include Cytokine Signaling Pathways and Interactions (8 papers), Electrospun Nanofibers in Biomedical Applications (6 papers), Melanoma and MAPK Pathways (4 papers), 3D Printing in Biomedical Research (4 papers), Tissue Engineering and Regenerative Medicine (3 papers), Wound Healing and Treatments (3 papers), NF-κB Signaling Pathways (3 papers) and Orthopaedic implants and arthroplasty (3 papers). The work is most often cited by research in Immunology (329 citations), Biomaterials (112 citations), Oncology (227 citations), Cancer Research (120 citations) and Immunology and Allergy (47 citations). Ferdinand Lali has collaborated with scholars based in United Kingdom, South Korea and United States. Frequent co-authors include Brian M. J. Foxwell, Abigail E. Hunt, Sarah J. Turner, Theresa H. Page, James B. Crawley, Lesley Rawlinson, Jeremy Saklatvala, Alister Hart, John Skinner and Barry Sampson. Their work appears in journals such as The Journal of Immunology, Journal of Biological Chemistry, Journal of Tissue Engineering, Cytokine and Journal of Wound Care.

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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