Hackwon Do

1.3k citations
62 papers · 937 · h-index 18

Impact in

  • Ecology top 10%
    • Physiological and biochemical adaptations
    • Polar Research and Ecology
    • Antimicrobial Resistance in Staphylococcus

Papers in

Hackwon Do

60 papers receiving 921 citations

Peers

Hackwon Do
Comparison fields: 5 of 92
  • Ecology 277
  • Infectious Diseases 124
  • Biotechnology 53
  • Public Health, Environmental and Occupational Health 153
  • Aging 10
Replace Medicharla V. Jagannadham with:
Medicharla V. Jagannadham India
Isabel M. López‐Lara Mexico
Arturo Becerra Mexico
Yuling Li China
Xianghui Kong China
Shuai Peng China
Xianliang Zhao China
Dieter Weichart United Kingdom
Magda Tušek Žnidarič Slovenia
Jianhui Li China
Hackwon Do relative to Medicharla V. Jagannadham India Medicharla V. Jagannadham's profile →
Citations per field
00.5×1.5×1.8×
Medicharla V. Jagannadham · 1×
Citations per year

Countries citing papers authored by Hackwon Do

Since Specialization
Citations

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

Fields of papers citing papers by Hackwon Do

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201296
2 201463
3 201655
4 201653
5 201249
6 201949
7 201743
8 201343
9 201641
10 201236
11 201734
12 201227
13 202425
14 201924
15 202022
16 201521
17 201821
18 201319
19 201514
20 201813

About Hackwon Do

Hackwon Do is a scholar working on Molecular Biology, Materials Chemistry, Ecology, Infectious Diseases and Public Health, Environmental and Occupational Health, having authored 62 papers that have together received 937 indexed citations. Recurring topics across this work include Enzyme Structure and Function (21 papers), Physiological and biochemical adaptations (12 papers), Streptococcal Infections and Treatments (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Microbial Metabolic Engineering and Bioproduction (9 papers), Enzyme Catalysis and Immobilization (7 papers), Neonatal and Maternal Infections (5 papers) and Muscle metabolism and nutrition (4 papers). The work is most often cited by research in Ecology (277 citations), Infectious Diseases (124 citations), Biotechnology (53 citations), Public Health, Environmental and Occupational Health (153 citations) and Aging (10 citations). Hackwon Do has collaborated with scholars based in South Korea, United States and Yemen. Frequent co-authors include Jun Hyuck Lee, Hak Jun Kim, Muthiah Kumaraswami, Nishanth Makthal, Randall J. Olsen, James M. Musser, Ae Kyung Park, Soon‐Jong Kim, Sung Gu Lee and Kyoung Sun Park. Their work appears in journals such as Scientific Reports, International Journal of Biological Macromolecules, International Journal of Molecular Sciences, IUCrJ and Infection and Immunity.

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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