Jesper Eisfeldt
Impact in
-
- Genomic variations and chromosomal abnormalities
- Genomics and Rare Diseases
- Genetic Syndromes and Imprinting
-
- Cancer Genomics and Diagnostics
Papers in
- Genetics 29
- Genomic variations and chromosomal abnormalities 18
- Genomics and Rare Diseases 12
-
- Genomics and Phylogenetic Studies 4
- Genomics and Chromatin Dynamics 4
- Congenital heart defects research 3
- Co-authors
- Anna Lindstrand (28 shared papers)Daniel Nilsson (14 shared papers)Maria Pettersson (12 shared papers)Claudia M.B. Carvalho (7 shared papers)Lars Feuk (6 shared papers)Elisabeth Syk Lundberg (3 shared papers)Adam Ameur (5 shared papers)Magnus Nordenskjöld (4 shared papers)
- Journals
- Scientific Reports (4 papers)Frontiers in Genetics (4 papers)PLoS ONE (4 papers)Human Mutation (4 papers)Bioinformatics (2 papers)
- Partner nations
- SwedenUnited StatesFinland
In The Last Decade
Jesper Eisfeldt
47 papers receiving 380 citations
Peers
Comparison fields: 5 of 66
- Genetics 165
- Cancer Research 57
- Aging 5
- Molecular Biology 175
- Hematology 15
Countries citing papers authored by Jesper Eisfeldt
This map shows the geographic impact of Jesper Eisfeldt'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 Jesper Eisfeldt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jesper Eisfeldt more than expected).
Fields of papers citing papers by Jesper Eisfeldt
This network shows the impact of papers produced by Jesper Eisfeldt. 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 Jesper Eisfeldt. The network helps show where Jesper Eisfeldt may publish in the future.
Co-authors
The 25 scholars most cited alongside Jesper Eisfeldt, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 33 | |
| 2 | 2023 | 26 | |
| 3 | 2016 | 25 | |
| 4 | 2020 | 21 | |
| 5 | 2019 | 18 | |
| 6 | 2020 | 16 | |
| 7 | 2018 | 16 | |
| 8 | 2021 | 16 | |
| 9 | 2017 | 16 | |
| 10 | 2020 | 15 | |
| 11 | 2020 | 14 | |
| 12 | 2020 | 12 | |
| 13 | 2018 | 11 | |
| 14 | 2023 | 11 | |
| 15 | 2018 | 9 | |
| 16 | 2025 | 8 | |
| 17 | 2021 | 8 | |
| 18 | 2022 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2021 | 7 |
About Jesper Eisfeldt
Jesper Eisfeldt is a scholar working on Genetics, Molecular Biology, Plant Science, Cancer Research and Surgery, having authored 50 papers that have together received 381 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (18 papers), Genomics and Rare Diseases (12 papers), Chromosomal and Genetic Variations (9 papers), Cancer Genomics and Diagnostics (7 papers), Genomics and Phylogenetic Studies (4 papers), Genomics and Chromatin Dynamics (4 papers), Congenital heart defects research (3 papers) and Prenatal Screening and Diagnostics (3 papers). The work is most often cited by research in Genetics (165 citations), Cancer Research (57 citations), Aging (5 citations), Molecular Biology (175 citations) and Hematology (15 citations). Jesper Eisfeldt has collaborated with scholars based in Sweden, United States and Finland. Frequent co-authors include Anna Lindstrand, Daniel Nilsson, Maria Pettersson, Claudia M.B. Carvalho, Lars Feuk, Elisabeth Syk Lundberg, Adam Ameur, Magnus Nordenskjöld, Emma Tham and James R. Lupski. Their work appears in journals such as Scientific Reports, Frontiers in Genetics, PLoS ONE, Human Mutation and Bioinformatics.
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.