Hongjun Song

3.2k citations
28 papers · 1.5k indexed · 1 hit paper · h-index 12

Hongjun Song

26 papers receiving 1.5k citations

Hit Papers

Zika Virus Infects Human Cortical Neural Progenitors and ...9142016202620192022250500750

Peers

Hongjun Song
Comparison fields: 5 of 99
  • Infectious Diseases 641
  • Public Health, Environmental and Occupational Health 885
  • Developmental Neuroscience 71
  • Oceanography 202
  • Epidemiology 347
Replace Gisela García‐Ramos with:
Gisela García‐Ramos United States
Laura A. Vogel United States
Gabriel Renaud United States
K. Frese Germany
Derek E. Dimcheff United States
April Davis United States
Etsuro Ono Japan
Michio Suzuki Japan
William Van Bonn United States
Alexander F. Koeppel United States
Hongjun Song relative to Gisela García‐Ramos United States Gisela García‐Ramos's profile →
Citations per field
00.5×8.8×
Gisela García‐Ramos · 1×
Citations per year

Countries citing papers authored by Hongjun Song

Since Specialization
Citations

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

Fields of papers citing papers by Hongjun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Hongjun Song, 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 Hongjun Song Line = papers co-authored together Hongjun Song links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20251
2 20241
3 20243
4 20241
5 20245
6 20232
7 202128
8 202047
9 201913
10 201811
11 2017175
12 2017105
13
[Chemical Composition of the Single Particle Aerosol in Winter in Nanning Using SPAMS].
20161
14
Zika Virus Infects Human Cortical Neural Progenitors and Attenuates Their Growthbreakdown →
2016914
15 201688
16 201517
17 201125
18 20111
19 201048
20 20088

About Hongjun Song

Hongjun Song is a scholar working on Oceanography, Business and International Management and Environmental Chemistry, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Marine and coastal ecosystems (9 papers), Marine Biology and Ecology Research (5 papers), Oceanographic and Atmospheric Processes (5 papers), Marine and fisheries research (5 papers), Mosquito-borne diseases and control (4 papers), Arctic and Antarctic ice dynamics (4 papers), Methane Hydrates and Related Phenomena (4 papers) and Marine Bivalve and Aquaculture Studies (2 papers). The work is most often cited by research in Infectious Diseases (641 citations), Public Health, Environmental and Occupational Health (885 citations) and Developmental Neuroscience (71 citations). Hongjun Song has collaborated with scholars based in China, United States and Rwanda. Frequent co-authors include Guo‐li Ming, Zhexing Wen, Xuyu Qian, Hengli Tang, Christy Hammack, Yujing Li, Ruth Didier, Sarah C. Ogden, Peng Jin and Emily M. Lee.

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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