Annalisa Kunkl

2.8k total citations
54 papers, 2.1k citations indexed

About

Annalisa Kunkl is a scholar working on Immunology, Molecular Biology and Virology. According to data from OpenAlex, Annalisa Kunkl has authored 54 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Immunology, 10 papers in Molecular Biology and 10 papers in Virology. Recurrent topics in Annalisa Kunkl's work include Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (18 papers) and HIV Research and Treatment (10 papers). Annalisa Kunkl is often cited by papers focused on Immune Cell Function and Interaction (21 papers), T-cell and B-cell Immunology (18 papers) and HIV Research and Treatment (10 papers). Annalisa Kunkl collaborates with scholars based in Italy, United States and United Kingdom. Annalisa Kunkl's co-authors include G. G. B. Klaus, Fabrizio Manca, John Humphrey, David W. Dongworth, Daniela Fenoglio, F Celada, Giuseppina Li Pira, Franco Celada, Caterina Cambiaggi and Maria Teresa Valle and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and The Journal of Immunology.

In The Last Decade

Annalisa Kunkl

53 papers receiving 1.9k citations

Peers

Annalisa Kunkl
Comparison fields: 5 of 110
  • Immunology 1.1k
  • Molecular Biology 495
  • Radiology, Nuclear Medicine and Imaging 344
  • Epidemiology 232
  • Surgery 225
Replace Fabio Almerigogna with:
Fabio Almerigogna Italy
L D Shultz United States
David Stephany United States
Gwendolin Muehlinghaus Germany
Elizabeth E. Eynon United States
April Chiu United States
J T Kurnick United States
Danielle T. Avery Australia
Claude Vincent France
John P. Atkinson United States
Fabio Almerigogna Italy View profile →
Citations per field, relative to Annalisa Kunkl
Annalisa Kunkl · 1×
Citations per year, relative to Annalisa Kunkl
Annalisa Kunkl · 1×

Countries citing papers authored by Annalisa Kunkl

Since Specialization
Citations

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

Fields of papers citing papers by Annalisa Kunkl

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Annalisa Kunkl

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

All Works

20 of 20 papers shown
# Work Indexed citations
1 27
2 26
3 14
4 130
5 40
6 7
7 194
8 18
9 2
10 21
11 23
12 37
13 1
14 14
15 42
16 20
17 180
18
Limiting dilution analysis of alloreactive precursors is more discriminatory than MLR to evaluate functional histocompatibility.
0
19 1
20 95

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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