Kim A. Lagerborg

1.5k citations
17 papers · 704 indexed · 1 hit paper · h-index 13
Topics
Metabolomics and Mass Spectrometry Studies (7 papers)Cancer, Hypoxia, and Metabolism (4 papers)Virus-based gene therapy research (2 papers)

In The Last Decade

Kim A. Lagerborg

16 papers receiving 699 citations

Hit Papers

Directed evolution of a family of AAV capsid variants ena...2021202620222024202150100150200250

Peers

Kim A. Lagerborg
Comparison fields: 5 of 94
  • Molecular Biology 495
  • Genetics 198
  • Physiology 91
  • Cardiology and Cardiovascular Medicine 75
  • Biochemistry 61
Replace Ding Wang with:
Ding Wang United States
Natalia Torrealba Chile
Mercedes Barzi United States
Jia Nie China
Donna Gonzales United States
Chris McDermott‐Roe United States
Nikolay B. Pestov Russia
Valeria G. Antico Arciuch Argentina
Rebecca Bachmann United States
Stéphane Demine Belgium
Kim A. Lagerborg relative to Ding Wang United States Ding Wang's profile →
Citations per field
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Citations per year

Countries citing papers authored by Kim A. Lagerborg

Since Specialization
Citations

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

Fields of papers citing papers by Kim A. Lagerborg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kim A. Lagerborg. 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 Kim A. Lagerborg. The network helps show where Kim A. Lagerborg may publish in the future.

Co-authorship network of co-authors of Kim A. Lagerborg

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 15
3 34
4 6
5
Directed evolution of a family of AAV capsid variants enabling potent muscle-directed gene delivery across speciesbreakdown →
292
6 16
7 12
8 11
9 36
10 54
11 59
12
Choline metabolite, trimethylamine N-oxide (TMAO), is associated with inflammation in psoriatic arthritis.
43
13 25
14 26
15 19
16 13
17 43

About Kim A. Lagerborg

Kim A. Lagerborg is a scholar working on Aging, Biochemistry and Biological Psychiatry, having authored 17 papers that have together received 704 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (7 papers), Cancer, Hypoxia, and Metabolism (4 papers) and Virus-based gene therapy research (2 papers). The work is most often cited by research in Aging (27 citations), Biochemistry (61 citations) and Molecular Biology (495 citations). Kim A. Lagerborg has collaborated with scholars based in United States, Sweden and Finland. Frequent co-authors include Mohit Jain, Jeramie D. Watrous, Simon Ye, Emily M. King, Alexandra C. Stanton, Mohammadsharif Tabebordbar, Pardis C. Sabeti, Roland Nilsson, Amy J. Wagers and Jeffrey J. Widrick. Their work appears in journals such as Cell, Journal of Biological Chemistry and Biochemistry.

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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