Hangjun Ke

1.1k citations
22 papers · 661 indexed · h-index 12

Impact in

Papers in

Hangjun Ke

19 papers receiving 658 citations

Peers

Hangjun Ke
Comparison fields: 5 of 73
  • Parasitology 144
  • Public Health, Environmental and Occupational Health 396
  • Toxicology 19
  • Virology 23
  • Computational Theory and Mathematics 69
Replace Lirong Shi with:
Lirong Shi United States
Liliane Cicéron France
Isaac Forquer United States
Sandra J. Darkin‐Rattray United States
Svenja Günther United Kingdom
Takeshi Annoura Japan
Philipp P. Henrich United States
Marjorie Maynadier France
Budhaditya Mukherjee India
Charlotte Lanteri United States
Hangjun Ke relative to Lirong Shi United States Lirong Shi's profile →
Citations per field
00.5×1.5×2.4×
Lirong Shi · 1×
Citations per year

Countries citing papers authored by Hangjun Ke

Since Specialization
Citations

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

Fields of papers citing papers by Hangjun Ke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Hangjun Ke, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Hangjun Ke Line = papers co-authored together Hangjun Ke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015118
2 2014105
3 201169
4 201168
5 201156
6 201845
7 201141
8 201335
9 201929
10 201623
11 202022
12 201711
13 20209
14 20217
15 20127
16 20226
17 20205
18 20233
19
Analysis of TAP1 and TAP2 polymorphism of mother-infant in Chinese patients with pre-eclampsia.
20052
20 20240

About Hangjun Ke

Hangjun Ke is a scholar working on Public Health, Environmental and Occupational Health, Molecular Biology, Infectious Diseases, Parasitology and Epidemiology, having authored 22 papers that have together received 661 indexed citations. Recurring topics across this work include Malaria Research and Control (15 papers), Mosquito-borne diseases and control (7 papers), Biochemical and Molecular Research (4 papers), HIV/AIDS drug development and treatment (4 papers), Metabolism and Genetic Disorders (3 papers), ATP Synthase and ATPases Research (3 papers), Vector-borne infectious diseases (3 papers) and Trypanosoma species research and implications (3 papers). The work is most often cited by research in Parasitology (144 citations), Public Health, Environmental and Occupational Health (396 citations), Toxicology (19 citations), Virology (23 citations) and Computational Theory and Mathematics (69 citations). Hangjun Ke has collaborated with scholars based in United States, China and France. Frequent co-authors include Akhil B. Vaidya, Michael W. Mather, Joanne M. Morrisey, Suresh M. Ganesan, Heather J. Painter, Manuel Llinás, Marcelo Jacobs‐Lorena, Kyle Jarrod McLean, Ian A. Lewis and Jan R. Crowley. Their work appears in journals such as Journal of Biological Chemistry, Antimicrobial Agents and Chemotherapy, Molecular and Biochemical Parasitology, PLoS ONE and Acta Pharmaceutica Sinica B.

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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