Jinrang Kim

1.6k citations
16 papers · 1.1k · 1 hit paper · h-index 12

Impact in

Papers in

    • Pancreatic function and diabetes 14
    • Diabetes and associated disorders 5

Jinrang Kim

16 papers receiving 1.1k citations

Hit Papers

RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes 2016 · 439 citations
4390+3+6Years since publication100200300400

Peers

Jinrang Kim
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 323
  • Surgery 647
  • Genetics 380
  • Biophysics 55
  • Cancer Research 133
Replace Eva-Marie Andersson with:
Eva-Marie Andersson Sweden
Anne‐Christine Andréasson Sweden
Nicolas Damond Switzerland
Takao Nammo Japan
Sophie Tritschler Germany
Aimée Bastidas-Ponce Germany
Luís Arnes United States
Hassan Mziaut Germany
Sigal Shachar United States
Raul Lacson United States
Jinrang Kim relative to Eva-Marie Andersson Sweden Eva-Marie Andersson's profile →
Citations per field
00.5×1.6×
Eva-Marie Andersson · 1×
Citations per year

Countries citing papers authored by Jinrang Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jinrang Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

16 of 16 papers shown
#Work
1
RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes
Hit paper breakdown →
2016439
2 2017139
3 2016127
4 2018123
5 201579
6 202125
7 201723
8 201623
9 201923
10 201822
11 201818
12 202116
13 20198
14 20237
15 20205
16 20193

About Jinrang Kim

Jinrang Kim is a scholar working on Surgery, Genetics, Molecular Biology, Endocrinology, Diabetes and Metabolism and Oncology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (5 papers), Diabetes Treatment and Management (3 papers), Pancreatic and Hepatic Oncology Research (3 papers), Metabolism, Diabetes, and Cancer (2 papers), Error Correcting Code Techniques (2 papers), Regulation of Appetite and Obesity (2 papers) and CRISPR and Genetic Engineering (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (323 citations), Surgery (647 citations), Genetics (380 citations), Biophysics (55 citations) and Cancer Research (133 citations). Jinrang Kim has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Jesper Gromada, Haruka Okamoto, Yurong Xin, George D. Yancopoulos, Christina Adler, Min Ni, Andrew Murphy, Yi Wei, Calvin Lin and Katie Cavino. Their work appears in journals such as Endocrinology, Cell Metabolism, Journal of Visualized Experiments, Cells and Diabetes.

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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