I‐Na Lu

1.2k citations
27 papers · 948 · h-index 15

Impact in

  • Virology top 5%
    • HIV Research and Treatment
  • Neurology top 5%
    • Neuroinflammation and Neurodegeneration Mechanisms
    • Long-Term Effects of COVID-19

Papers in

I‐Na Lu

27 papers receiving 935 citations

Peers

I‐Na Lu
Comparison fields: 5 of 64
  • Virology 107
  • Neurology 111
  • Immunology 169
  • Neurology 96
  • Pathology and Forensic Medicine 114
Replace Federico Ivaldi with:
Federico Ivaldi Italy
Barbara Cipriani Italy
Clive S. McKimmie United Kingdom
Timothy W. Phares United States
Kathrin Held Germany
Marianne M. A. Martinic Switzerland
Karen Yao United States
Eiji Matsuura Japan
Rihito Watanabe Japan
Eleonora Aricò Italy
I‐Na Lu relative to Federico Ivaldi Italy Federico Ivaldi's profile →
Citations per field
00.5×2×3×4.0×
Federico Ivaldi · 1×
Citations per year

Countries citing papers authored by I‐Na Lu

Since Specialization
Citations

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

Fields of papers citing papers by I‐Na Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I‐Na Lu. 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 I‐Na Lu. The network helps show where I‐Na Lu may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020149
2 2021148
3 2022100
4 202264
5 201461
6 201655
7 202144
8 201443
9 202239
10 202036
11 201831
12 201230
13 201728
14 202126
15 202215
16 202313
17 201810
18 20138
19 20258
20 20247

About I‐Na Lu

I‐Na Lu is a scholar working on Virology, Pathology and Forensic Medicine, Immunology, Neurology and Genetics, having authored 27 papers that have together received 948 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (6 papers), Influenza Virus Research Studies (5 papers), HIV Research and Treatment (4 papers), T-cell and B-cell Immunology (2 papers), Glioma Diagnosis and Treatment (2 papers), Single-cell and spatial transcriptomics (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers) and Immune Cell Function and Interaction (2 papers). The work is most often cited by research in Virology (107 citations), Neurology (111 citations), Immunology (169 citations), Neurology (96 citations) and Pathology and Forensic Medicine (114 citations). I‐Na Lu has collaborated with scholars based in Germany, United States and Luxembourg. Frequent co-authors include Claude P. Muller, Heinz Wiendl, Gerd Meyer zu Hörste, Michael Heming, Xiaolin Li, Sophie Farinelle, Anna‐Lena Börsch, Aurélie Sausy, Dirk Meyer‐Olson and Feng Q. HeFeng. Their work appears in journals such as Nature Communications, Genome Medicine, Therapeutic Advances in Neurological Disorders, European Journal of Immunology and Vaccine.

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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