Philipp Khaitovich

16.1k citations
117 papers · 9.3k indexed · 4 hit papers · h-index 50
Topics
RNA Research and Splicing (29 papers)RNA modifications and cancer (22 papers)Cancer-related molecular mechanisms research (20 papers)
Partner nations
GermanyChinaRussia

In The Last Decade

Philipp Khaitovich

116 papers receiving 9.1k citations

Hit Papers

The evolution of gene expression levels in mammalian o...20022026201020182011200220052019250500750

Peers

Philipp Khaitovich
Comparison fields: 5 of 172
  • Molecular Biology 6.7k
  • Genetics 2.2k
  • Cancer Research 1.6k
  • Plant Science 1.1k
  • Physiology 577
Replace Tae-Kyung Kim with:
Tae-Kyung Kim South Korea
Chad A. Shaw United States
Naomi Habib United States
Masatoshi Hagiwara Japan
Martin Hemberg United States
Joel D. Richter United States
Benjamin J. Blencowe Canada
Gregory S. Barsh United States
G Yeo United States
Ryan Lister Australia
Philipp Khaitovich relative to Tae-Kyung Kim South Korea Tae-Kyung Kim's profile →
Citations per field
00.5×1.5×2.1×
Tae-Kyung Kim · 1×
Citations per year

Countries citing papers authored by Philipp Khaitovich

Since Specialization
Citations

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

Fields of papers citing papers by Philipp Khaitovich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philipp Khaitovich

This figure shows the co-authorship network connecting the top 25 collaborators of Philipp Khaitovich. A scholar is included among the top collaborators of Philipp Khaitovich 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 Philipp Khaitovich. Philipp Khaitovich 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 1
2 2
3 2
4 1
5 95
6 3
7 82
8 20
9 12
10 8
11 39
12 62
13 7
14 25
15 121
16 53
17 125
18 13
19 389
20 124

About Philipp Khaitovich

Philipp Khaitovich is a scholar working on Aging, Biological Psychiatry and Cancer Research, having authored 117 papers that have together received 9.3k indexed citations. Recurring topics across this work include RNA Research and Splicing (29 papers), RNA modifications and cancer (22 papers) and Cancer-related molecular mechanisms research (20 papers). The work is most often cited by research in Aging (373 citations), Cancer Research (1.6k citations) and Molecular Biology (6.7k citations). Philipp Khaitovich has collaborated with scholars based in Germany, China and Russia. Frequent co-authors include Svante Pääbo, Wolfgang Enard, Michael Lachmann, Yan Zheng, Mehmet Somel, Günter Weiß, Hai Hu, Wei Chen, Song Guo and Ines Hellmann. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.

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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