Hojun Song

5.0k citations
99 papers · 3.5k · 1 hit paper · h-index 28

Impact in

Papers in

Hojun Song

92 papers receiving 3.5k citations

Hojun Song's Hit Papers

Many species in one: DNA barcoding overestimates the number of species when nuclear mitochondrial pseudogenes are coamplified 2008 · 826 citations
8260+6+12Years since publication250500750

Peers

Hojun Song
Comparison fields: 5 of 110
  • Ecology, Evolution, Behavior and Systematics 1.9k
  • Paleontology 391
  • Insect Science 629
  • Genetics 1.3k
  • Ecological Modeling 164
Replace Christoph Mayer with:
Christoph Mayer Germany
Tereza Senfeld United Kingdom
Karen Meusemann Germany
Andreas Zwick Australia
Johannes Bergsten Sweden
Kanchon K. Dasmahapatra United Kingdom
Lars Podsiadłowski Germany
Duane D. McKenna United States
Alexander Donath Germany
Benoît Nabholz France
Hojun Song relative to Christoph Mayer Germany Christoph Mayer's profile →
Citations per field
00.5×1.5×
Christoph Mayer · 1×
Citations per year

Countries citing papers authored by Hojun Song

Since Specialization
Citations

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

Fields of papers citing papers by Hojun Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 99 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Many species in one: DNA barcoding overestimates the number of species when nuclear mitochondrial pseudogenes are coamplified
Hit paper breakdown →
2008826
2 2015235
3 2008211
4 2008176
5 2009153
6 2010117
7 2009116
8 2010115
9 2020104
10 200989
11 200388
12 201877
13 201375
14 201062
15 201356
16 201053
17 201453
18 201747
19 200739
20 200438

About Hojun Song

Hojun Song is a scholar working on Ecology, Evolution, Behavior and Systematics, Genetics, Paleontology, Molecular Biology and Nature and Landscape Conservation, having authored 99 papers that have together received 3.5k indexed citations. Recurring topics across this work include Orthoptera Research and Taxonomy (48 papers), Plant and animal studies (27 papers), Ecology and Vegetation Dynamics Studies (19 papers), Scarabaeidae Beetle Taxonomy and Biogeography (19 papers), Genetic diversity and population structure (14 papers), Insect and Arachnid Ecology and Behavior (13 papers), Genomics and Phylogenetic Studies (12 papers) and Lepidoptera: Biology and Taxonomy (9 papers). The work is most often cited by research in Ecology, Evolution, Behavior and Systematics (1.9k citations), Paleontology (391 citations), Insect Science (629 citations), Genetics (1.3k citations) and Ecological Modeling (164 citations). Hojun Song has collaborated with scholars based in United States, South Korea and Australia. Frequent co-authors include Michael F. Whiting, Keith A. Crandall, Jennifer E. Buhay, Stephen L. Cameron, Nathan C. Sheffield, Matthew J. Moulton, Ricardo Mariño‐Pérez, María Marta Cigliano, Kelly B. Miller and Sibyl R. Bucheli. Their work appears in journals such as Zootaxa, Molecular Phylogenetics and Evolution, Insect Systematics & Evolution, PLoS ONE and Cladistics.

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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