Linden T. Hu

5.9k citations
81 papers · 4.0k indexed · 2 hit papers · h-index 34
Topics
Vector-borne infectious diseases (64 papers)Viral Infections and Vectors (34 papers)Insect symbiosis and bacterial influences (14 papers)

In The Last Decade

Linden T. Hu

80 papers receiving 3.8k citations

Hit Papers

Of ticks, mice and men: understanding the dual-host lifes...201220262016202120122016100200300400500

Peers

Linden T. Hu
Comparison fields: 5 of 121
  • Parasitology 3.0k
  • Infectious Diseases 2.4k
  • Public Health, Environmental and Occupational Health 779
  • Ecology, Evolution, Behavior and Systematics 707
  • Insect Science 671
Replace Richard T. Marconi with:
Richard T. Marconi United States
Darrin R. Akins United States
Peter Kraiczy Germany
R C Johnson United States
Melissa J. Caimano United States
Jenifer Coburn United States
James L. Coleman United States
Ikuo Takashima Japan
Catherine A. Brissette United States
Ira Schwartz United States
Linden T. Hu relative to Richard T. Marconi United States Richard T. Marconi's profile →
Citations per field
00.5×1.5×
Richard T. Marconi · 1×
Citations per year

Countries citing papers authored by Linden T. Hu

Since Specialization
Citations

This map shows the geographic impact of Linden T. Hu'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 Linden T. Hu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Linden T. Hu more than expected).

Fields of papers citing papers by Linden T. Hu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Linden T. Hu. 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 Linden T. Hu. The network helps show where Linden T. Hu may publish in the future.

Co-authorship network of co-authors of Linden T. Hu

This figure shows the co-authorship network connecting the top 25 collaborators of Linden T. Hu. A scholar is included among the top collaborators of Linden T. Hu 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 Linden T. Hu. Linden T. Hu 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 1
3 6
4 3
5 4
6 22
7 53
8 59
9 13
10 11
11 35
12 20
13 11
14
Of ticks, mice and men: understanding the dual-host lifestyle of Lyme disease spirochaetesbreakdown →
545
15 49
16 38
17 58
18 28
19 38
20 31

About Linden T. Hu

Linden T. Hu is a scholar working on Parasitology, Infectious Diseases and Insect Science, having authored 81 papers that have together received 4.0k indexed citations. Recurring topics across this work include Vector-borne infectious diseases (64 papers), Viral Infections and Vectors (34 papers) and Insect symbiosis and bacterial influences (14 papers). The work is most often cited by research in Parasitology (3.0k citations), Infectious Diseases (2.4k citations) and Insect Science (671 citations). Linden T. Hu has collaborated with scholars based in United States, Japan and Slovakia. Frequent co-authors include Justin D. Radolf, Melissa J. Caimano, Brian Stevenson, Mark S. Klempner, Gary P. Wormser, Allen C. Steere, Xin Li, John A. Branda, Paul S. Mead and Joppe W. Hovius. Their work appears in journals such as New England Journal of Medicine, Proceedings of the National Academy of Sciences and JAMA.

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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