Suhee Kim

44 papers receiving 792 citations

Peers

Suhee Kim
Comparison fields: 5 of 104
  • Reproductive Medicine 109
  • Periodontics 42
  • Electrochemistry 53
  • Parasitology 43
  • Infectious Diseases 108
Replace Mohammad Heidari with:
Mohammad Heidari Iran
Constance M. John United States
T Porstmann Germany
Sue M. Travis United States
Kendrick B. Turner United States
M. Venkataraman United States
Loe de Leij Netherlands
H Gérard France
Fatimah S. Alhamlan Saudi Arabia
Renata Grifantini Italy
Suhee Kim relative to Mohammad Heidari Iran Mohammad Heidari's profile →
Citations per field
00.5×3.5×
Mohammad Heidari · 1×
Citations per year

Countries citing papers authored by Suhee Kim

Since Specialization
Citations

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

Fields of papers citing papers by Suhee Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201685
2 201779
3 201175
4 201557
5 202143
6 201340
7 201836
8 201733
9 201532
10 201828
11 201626
12 201720
13 201220
14 201019
15 201718
16 201617
17 201617
18 201616
19 201415
20 201914

About Suhee Kim

Suhee Kim is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health, Pulmonary and Respiratory Medicine, Ecology, Evolution, Behavior and Systematics and Genetics, having authored 47 papers that have together received 808 indexed citations. Recurring topics across this work include Advanced biosensing and bioanalysis techniques (8 papers), Advanced Biosensing Techniques and Applications (6 papers), Sperm and Testicular Function (5 papers), Reproductive Biology and Fertility (5 papers), Biosensors and Analytical Detection (4 papers), Gut microbiota and health (4 papers), Vector-borne infectious diseases (3 papers) and Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis (3 papers). The work is most often cited by research in Reproductive Medicine (109 citations), Periodontics (42 citations), Electrochemistry (53 citations), Parasitology (43 citations) and Infectious Diseases (108 citations). Suhee Kim has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Hye Jin Lee, Alastair W. Wark, Yong Jun Kim, Young‐Jun Lee, Do‐Hyeon Yu, Jinho Park, Tae‐Hoon Lee, Sun Hee Ahn, Cansu Agca and Yüksel Ağca. Their work appears in journals such as Analytical Chemistry, Immune Network, Catalysis Today, International Journal of Molecular Sciences and Topics in companion animal medicine.

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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