Jakob Kaeppler

493 total citations
11 papers, 337 citations indexed

About

Jakob Kaeppler is a scholar working on Cancer Research, Molecular Biology and Biophysics. According to data from OpenAlex, Jakob Kaeppler has authored 11 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cancer Research, 3 papers in Molecular Biology and 3 papers in Biophysics. Recurrent topics in Jakob Kaeppler's work include Cancer, Hypoxia, and Metabolism (4 papers), Mathematical Biology Tumor Growth (3 papers) and Cell Image Analysis Techniques (3 papers). Jakob Kaeppler is often cited by papers focused on Cancer, Hypoxia, and Metabolism (4 papers), Mathematical Biology Tumor Growth (3 papers) and Cell Image Analysis Techniques (3 papers). Jakob Kaeppler collaborates with scholars based in United Kingdom, Slovenia and Netherlands. Jakob Kaeppler's co-authors include Boštjan Markelc, Ruth J. Muschel, Jianzhou Chen, Yunhong Cao, Jenny A. F. Vermeer, Andreas Herrlich, Joseph V. Bonventre, Venkata Sabbisetti, Athena Chalaris and Stefan Rose‐John and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Science Advances.

In The Last Decade

Jakob Kaeppler

11 papers receiving 336 citations

Peers

Jakob Kaeppler
Comparison fields: 5 of 63
  • Immunology 121
  • Molecular Biology 113
  • Oncology 103
  • Cancer Research 54
  • Pulmonary and Respiratory Medicine 48
Replace Sudhir Perincheri with:
Sudhir Perincheri United States
Bonnie Bullock United States
Thomas Pöschinger Germany
L. R. Jarvis Australia
Morgan Darrow United States
Yoo‐Jin Kim South Korea
David Cantor Australia
Álvaro Gomariz Switzerland
Evita Sadimin United States
Fatiha Bouhidel France
Sudhir Perincheri United States View profile →
Citations per field, relative to Jakob Kaeppler
Jakob Kaeppler · 1×
Citations per year, relative to Jakob Kaeppler
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Countries citing papers authored by Jakob Kaeppler

Since Specialization
Citations

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

Fields of papers citing papers by Jakob Kaeppler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jakob Kaeppler

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

All Works

11 of 11 papers shown
# Work Indexed citations
1 1
2 9
3 18
4 5
5 39
6 16
7 104
8 19
9
Extracting 3D Vascular Structures from Microscopy Images using Convolutional Recurrent Networks
1
10 21
11 104

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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