Nina Kimer

1.3k citations
56 papers · 811 · h-index 16

Impact in

  • Hepatology top 1%
    • Liver Disease and Transplantation
    • Liver Disease Diagnosis and Treatment

Papers in

    • Liver Disease and Transplantation 35
    • Hepatitis Viruses Studies and Epidemiology 5
    • Liver Disease Diagnosis and Treatment 18

Nina Kimer

51 papers receiving 793 citations

Peers

Nina Kimer
Comparison fields: 5 of 72
  • Hepatology 515
  • Epidemiology 377
  • Gastroenterology 29
  • Pharmacology 49
  • Surgery 192
Replace Raymond Sayegh with:
Raymond Sayegh Lebanon
Vivek A. Saraswat India
Paul Carrier France
Albert Tomás Spain
Kapil Dev Jamwal India
J Chesta Chile
Chavdar S Pavlov Russia
S. Angeloni Italy
Habeeb Salameh United States
Nina Kimer relative to Raymond Sayegh Lebanon Raymond Sayegh's profile →
Citations per field
00.5×
Raymond Sayegh · 1×
Citations per year

Countries citing papers authored by Nina Kimer

Since Specialization
Citations

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

Fields of papers citing papers by Nina Kimer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 56 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014140
2 201661
3 201360
4 201254
5 201751
6 202042
7 202129
8 201426
9 202325
10 202423
11 202223
12 201222
13 201420
14 201419
15 201018
16 202517
17 202114
18 202113
19 202313
20 202011

About Nina Kimer

Nina Kimer is a scholar working on Hepatology, Epidemiology, Surgery, Infectious Diseases and Pathology and Forensic Medicine, having authored 56 papers that have together received 811 indexed citations. Recurring topics across this work include Liver Disease and Transplantation (35 papers), Liver Disease Diagnosis and Treatment (18 papers), Organ Transplantation Techniques and Outcomes (6 papers), Hepatitis Viruses Studies and Epidemiology (5 papers), Diet, Metabolism, and Disease (2 papers), COVID-19 Clinical Research Studies (2 papers), Alcohol Consumption and Health Effects (2 papers) and Body Composition Measurement Techniques (1 paper). The work is most often cited by research in Hepatology (515 citations), Epidemiology (377 citations), Gastroenterology (29 citations), Pharmacology (49 citations) and Surgery (192 citations). Nina Kimer has collaborated with scholars based in Denmark, Germany and United States. Frequent co-authors include Lise Lotte Gluud, Flemming Bendtsen, Søren Møller, Aleksander Krag, E. Dahl, Lise Hobolth, Hendrik Vilstrup, Mette Munk Lauridsen, Maja Thiele and Julie Steen Pedersen. Their work appears in journals such as Scandinavian Journal of Gastroenterology, PLoS ONE, Hepatology Communications, Alimentary Pharmacology & Therapeutics and Cochrane Database of Systematic Reviews.

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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