Kai Kisand

19.9k citations
86 papers · 2.7k indexed · 1 hit paper · h-index 31

Impact in

Papers in

Kai Kisand

86 papers receiving 2.7k citations

Hit Papers

Dynamics of antibody response to BNT162b2 vaccine after six months: a longitudinal prospective study 2021 · 379 citations
3792021202620222024100200300

Peers

Kai Kisand
Comparison fields: 5 of 103
  • Immunology 1.2k
  • Endocrinology, Diabetes and Metabolism 659
  • Infectious Diseases 555
  • Genetics 484
  • Neurology 243
Replace Gilberto Filaci with:
Gilberto Filaci Italy
Patricia Kirby United States
Grégory Seumois United States
Marc S. Horwitz Canada
Liina Tserel Estonia
Maria Romero United States
Kajsa Wing Sweden
Michio Yasunami Japan
Nicodemus Tedla Australia
Sung Ho Park South Korea
Kai Kisand relative to Gilberto Filaci Italy Gilberto Filaci's profile →
Citations per field
00.5×6.5×
Gilberto Filaci · 1×
Citations per year

Countries citing papers authored by Kai Kisand

Since Specialization
Citations

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

Fields of papers citing papers by Kai Kisand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20252
3 20243
4 20241
5 202238
6 202210
7
Dynamics of antibody response to BNT162b2 vaccine after six months: a longitudinal prospective study
Hit paper breakdown →
2021379
8 20212
9 202043
10 202059
11 202024
12 202015
13 201821
14 201762
15 201613
16 201036
17 200974
18 20095
19 20041
20 199817

About Kai Kisand

Kai Kisand is a scholar working on Immunology, Endocrinology, Diabetes and Metabolism, Infectious Diseases, Genetics and Neurology, having authored 86 papers that have together received 2.7k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (37 papers), Adrenal Hormones and Disorders (32 papers), Immune Cell Function and Interaction (24 papers), Diabetes and associated disorders (19 papers), SARS-CoV-2 and COVID-19 Research (8 papers), COVID-19 Clinical Research Studies (6 papers), Immunotherapy and Immune Responses (6 papers) and Myasthenia Gravis and Thymoma (6 papers). The work is most often cited by research in Immunology (1.2k citations), Endocrinology, Diabetes and Metabolism (659 citations), Infectious Diseases (555 citations), Genetics (484 citations) and Neurology (243 citations). Kai Kisand has collaborated with scholars based in Estonia, Finland and United Kingdom. Frequent co-authors include Pärt Peterson, Liina Tserel, Martti Laan, Ana Rebane, Jaanika Kärner, Mario Saare, Hamish S. Scott, Lili Milani, Liis Haljasmägi and Pauliina Rumm. Their work appears in journals such as European Journal of Immunology, Frontiers in Immunology, The Journal of Immunology, Apmis and Scientific Reports.

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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