Julia Kälsch

740 citations
31 papers · 456 · h-index 14

Impact in

Papers in

    • Liver Disease Diagnosis and Treatment 12
    • Liver Disease and Transplantation 5
    • Hepatocellular Carcinoma Treatment and Prognosis 2

Julia Kälsch

28 papers receiving 443 citations

Peers

Julia Kälsch
Comparison fields: 5 of 94
  • Hepatology 65
  • Epidemiology 175
  • Endocrinology, Diabetes and Metabolism 58
  • Health Information Management 16
  • Cell Biology 28
Replace Carolin V. Schneider with:
Carolin V. Schneider Germany
Liang‐Jie Tang China
Pei‐Wu Zhu China
K. Lackner Germany
Angelika Erwin United States
Roxanne Desiderio United States
Antonio Félix Conde-Martín Spain
Jon Hill United States
Xuequn Zhang China
B. Kutala France
Julia Kälsch relative to Carolin V. Schneider Germany Carolin V. Schneider's profile →
Citations per field
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Carolin V. Schneider · 1×
Citations per year

Countries citing papers authored by Julia Kälsch

Since Specialization
Citations

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

Fields of papers citing papers by Julia Kälsch

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201560
2 201956
3 201641
4 201732
5 201529
6 201725
7 201122
8 201619
9 202217
10 202315
11 202013
12 201813
13 201713
14 201913
15 201612
16 201311
17 201611
18 201810
19 20199
20 20209

About Julia Kälsch

Julia Kälsch is a scholar working on Epidemiology, Hepatology, Surgery, Endocrinology, Diabetes and Metabolism and Cell Biology, having authored 31 papers that have together received 456 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (12 papers), Liver Disease and Transplantation (5 papers), Endoplasmic Reticulum Stress and Disease (3 papers), Cholangiocarcinoma and Gallbladder Cancer Studies (3 papers), Organ Transplantation Techniques and Outcomes (2 papers), Celiac Disease Research and Management (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Pancreatic and Hepatic Oncology Research (2 papers). The work is most often cited by research in Hepatology (65 citations), Epidemiology (175 citations), Endocrinology, Diabetes and Metabolism (58 citations), Health Information Management (16 citations) and Cell Biology (28 citations). Julia Kälsch has collaborated with scholars based in Germany, Switzerland and Japan. Frequent co-authors include Ali Canbay, Jan‐Peter Sowa, Dominik Heider, Guido Gerken, Hideo A. Baba, Lars P. Bechmann, Ursula Neumann, Theodor Baars, Paul Manka and Raimund Erbel. Their work appears in journals such as Scientific Reports, PLoS ONE, Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin, Journal of Personalized Medicine and Medicine.

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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