Danika Khong

2.3k citations
14 papers · 1.7k indexed · 2 hit papers · h-index 10
Topics
Mesenchymal stem cell research (5 papers)Hematopoietic Stem Cell Transplantation (4 papers)CAR-T cell therapy research (2 papers)

In The Last Decade

Danika Khong

14 papers receiving 1.7k citations

Hit Papers

Growth Differentiation Factor 11 Is a Circulating Factor ...201320262017202120132014200400600

Peers

Danika Khong
Comparison fields: 5 of 105
  • Molecular Biology 973
  • Physiology 496
  • Rheumatology 279
  • Genetics 240
  • Surgery 219
Replace James R. Pancoast with:
James R. Pancoast United States
Laura García‐Prat Spain
Ronald D. Cohn United States
Christine M. Miller United States
Samuel M. Cadena United States
Laura Ortet Spain
Angelika Meyer Switzerland
Marco De Bardi Italy
Sanjin Zvonic United States
Reimar Abraham Italy
Danika Khong relative to James R. Pancoast United States James R. Pancoast's profile →
Citations per field
00.5×1.5×
James R. Pancoast · 1×
Citations per year

Countries citing papers authored by Danika Khong

Since Specialization
Citations

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

Fields of papers citing papers by Danika Khong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Danika Khong

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

All Works

14 of 14 papers shown
#WorkIndexed citations
1 27
2 3
3 132
4 20
5 42
6 9
7 1
8 27
9
Restoring Systemic GDF11 Levels Reverses Age-Related Dysfunction in Mouse Skeletal Musclebreakdown →
621
10 118
11
Growth Differentiation Factor 11 Is a Circulating Factor that Reverses Age-Related Cardiac Hypertrophybreakdown →
699
12 1
13 23
14 9

About Danika Khong

Danika Khong is a scholar working on Aging, Genetics and Hematology, having authored 14 papers that have together received 1.7k indexed citations. Recurring topics across this work include Mesenchymal stem cell research (5 papers), Hematopoietic Stem Cell Transplantation (4 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Aging (215 citations), Genetics (240 citations) and Physiology (496 citations). Danika Khong has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include Amy J. Wagers, Jennifer L. Shadrach, James R. Pancoast, Francesco S. Loffredo, Thomas Serwold, Richard Lee, Manisha Sinha, Britta Swebilius Singer, Pratyusha Yalamanchi and Robert E. Gerszten. Their work appears in journals such as Science, Cell and Scientific Reports.

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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