Martin Böttcher

3.5k citations
46 papers · 1.7k indexed · 1 hit paper · h-index 19
Topics
Immune Cell Function and Interaction (14 papers)Immune cells in cancer (9 papers)Chronic Lymphocytic Leukemia Research (8 papers)

In The Last Decade

Martin Böttcher

42 papers receiving 1.7k citations

Hit Papers

Short-chain fatty acids regulate systemic bone mass and p...20172026202020232017100200300400500

Peers

Martin Böttcher
Comparison fields: 5 of 100
  • Molecular Biology 929
  • Immunology 521
  • Oncology 358
  • Cancer Research 251
  • Physiology 177
Replace Michaela Tencerová with:
Michaela Tencerová Czechia
Stefan Uderhardt Germany
Kyung‐Hyun Park‐Min United States
Gianluca Toraldo United States
KyuBum Kwack South Korea
Simona Neri Italy
Yang Du China
Harini Raghu United States
Wenxin Song United States
Ghada Alsaleh France
Martin Böttcher relative to Michaela Tencerová Czechia Michaela Tencerová's profile →
Citations per field
00.5×1.5×
Michaela Tencerová · 1×
Citations per year

Countries citing papers authored by Martin Böttcher

Since Specialization
Citations

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

Fields of papers citing papers by Martin Böttcher

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Böttcher

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
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3 0
4 1
5 4
6 8
7 5
8 2
9 10
10 2
11 11
12 5
13 49
14 22
15 19
16 25
17 21
18 63
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Short-chain fatty acids regulate systemic bone mass and protect from pathological bone lossbreakdown →
527
20 83

About Martin Böttcher

Martin Böttcher is a scholar working on Genetics, Immunology and Hematology, having authored 46 papers that have together received 1.7k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (14 papers), Immune cells in cancer (9 papers) and Chronic Lymphocytic Leukemia Research (8 papers). The work is most often cited by research in Immunology (521 citations), Cancer Research (251 citations) and Genetics (172 citations). Martin Böttcher has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Dimitrios Mougiakakos, Andréas Mackensen, Regina Jitschin, Heiko Bruns, Georg Schett, Gerhard Krönke, Brenda Krishnacoumar, Jörg Hofmann, Sébastien Lucas and Olivia Albrecht. Their work appears in journals such as Nature Communications, Blood and Cancer Research.

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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