Ruowang Li

3.8k citations
26 papers · 2.2k indexed · 2 hit papers · h-index 13
Topics
Bioinformatics and Genomic Networks (10 papers)Genetic Associations and Epidemiology (8 papers)Gene expression and cancer classification (7 papers)

In The Last Decade

Ruowang Li

25 papers receiving 2.2k citations

Hit Papers

Paternally Induced Transgenerational Environmental Reprog...201020262015202020102015250500750

Peers

Ruowang Li
Comparison fields: 5 of 149
  • Molecular Biology 1.5k
  • Genetics 485
  • Pediatrics, Perinatology and Child Health 428
  • Cancer Research 212
  • Physiology 141
Replace Michael Rebhan with:
Michael Rebhan Germany
Kimberly Glass United States
Pei Fen Kuan United States
Elizabeth T. Cirulli United States
Yehudit Hasin-Brumshtein United States
Samuel A. Lambert United Kingdom
Maria Giulia Bacalini Italy
Christopher R. McCudden Canada
Fabian Müller Germany
David Montaner Spain
Ruowang Li relative to Michael Rebhan Germany Michael Rebhan's profile →
Citations per field
00.5×1.5×1.8×
Michael Rebhan · 1×
Citations per year

Countries citing papers authored by Ruowang Li

Since Specialization
Citations

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

Fields of papers citing papers by Ruowang Li

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruowang Li

This figure shows the co-authorship network connecting the top 25 collaborators of Ruowang Li. A scholar is included among the top collaborators of Ruowang Li 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 Ruowang Li. Ruowang Li 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 2
2 4
3 0
4 5
5 67
6 1
7 17
8 6
9 15
10 21
11 6
12 30
13 24
14
Methods of integrating data to uncover genotype–phenotype interactionsbreakdown →
672
15 3
16 15
17 56
18 363
19
Paternally Induced Transgenerational Environmental Reprogramming of Metabolic Gene Expression in Mammalsbreakdown →
836
20 65

About Ruowang Li

Ruowang Li is a scholar working on Cancer Research, Genetics and Transplantation, having authored 26 papers that have together received 2.2k indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Genetic Associations and Epidemiology (8 papers) and Gene expression and cancer classification (7 papers). The work is most often cited by research in Aging (51 citations), Molecular Biology (1.5k citations) and Pediatrics, Perinatology and Child Health (428 citations). Ruowang Li has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Marylyn D. Ritchie, Dokyoon Kim, Sarah A. Pendergrass, Emily Holzinger, Zhiping Weng, Oliver J. Rando, Nir Friedman, Naomi Habib, Chengjian Li and Hans A. Hofmann. Their work appears in journals such as Cell, Nature Communications and Nature Reviews Genetics.

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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