Sulev Reisberg

1.9k citations
14 papers · 1.1k indexed · 1 hit paper · h-index 7
Topics
Genetic Associations and Epidemiology (4 papers)Machine Learning in Healthcare (3 papers)Medical Coding and Health Information (3 papers)

In The Last Decade

Sulev Reisberg

11 papers receiving 1.1k citations

Hit Papers

g:Profiler—a web server for functional interpretation of ...20162026201920222016250500750

Peers

Sulev Reisberg
Comparison fields: 5 of 129
  • Molecular Biology 557
  • Genetics 222
  • Cancer Research 145
  • Immunology 109
  • Epidemiology 73
Replace Jae‐Pil Jeon with:
Jae‐Pil Jeon South Korea
Yongzhong Zhao United States
Yan Huang China
Ling Chen China
Jonathan W. Nyce United States
Richard P. Metz United States
Chun‐Teng Huang Taiwan
Qi Guo China
Mike Kucera Canada
Manhong Dai United States
Sulev Reisberg relative to Jae‐Pil Jeon South Korea Jae‐Pil Jeon's profile →
Citations per field
00.5×2.8×
Jae‐Pil Jeon · 1×
Citations per year

Countries citing papers authored by Sulev Reisberg

Since Specialization
Citations

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

Fields of papers citing papers by Sulev Reisberg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sulev Reisberg

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 0
2 1
3 0
4 1
5 3
6 15
7 6
8 7
9 1
10 67
11 26
12 49
13
g:Profiler—a web server for functional interpretation of gene lists (2016 update)breakdown →
885
14 0

About Sulev Reisberg

Sulev Reisberg is a scholar working on Health Information Management, Family Practice and Microbiology, having authored 14 papers that have together received 1.1k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (4 papers), Machine Learning in Healthcare (3 papers) and Medical Coding and Health Information (3 papers). The work is most often cited by research in Cancer Research (145 citations), Molecular Biology (557 citations) and Aging (14 citations). Sulev Reisberg has collaborated with scholars based in Estonia, United Kingdom and United States. Frequent co-authors include Jaak Vilo, Liis Kolberg, T. V. Arak, Hedi Peterson, Priit Adler, Jüri Reimand, Krista Fischer, Kristi Läll, Reedik Mägi and Maarja Lepamets. Their work appears in journals such as Nucleic Acids Research, PLoS ONE and BMC Public Health.

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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