Jinrang Kim

1.6k total citations · 1 hit paper
16 papers, 1.1k citations indexed

About

Jinrang Kim is a scholar working on Surgery, Genetics and Molecular Biology. According to data from OpenAlex, Jinrang Kim has authored 16 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Surgery, 6 papers in Genetics and 5 papers in Molecular Biology. Recurrent topics in Jinrang Kim's work include Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (5 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Jinrang Kim is often cited by papers focused on Pancreatic function and diabetes (14 papers), Diabetes and associated disorders (5 papers) and Pancreatic and Hepatic Oncology Research (3 papers). Jinrang Kim collaborates with scholars based in United States, Italy and Germany. Jinrang Kim's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Cell Metabolism and Diabetes.

In The Last Decade

Jinrang Kim

16 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes

2016 439 citations Yurong Xin, Jinrang Kim et al. Cell Metabolism profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Jinrang Kim United States	12	647	605	380	323	133	16	1.1k
Anne‐Christine Andréasson Sweden	7	615 1.0×	639 1.1×	345 0.9×	312 1.0×	138 1.0×	9	1.2k
Eva-Marie Andersson Sweden	8	604 0.9×	710 1.2×	334 0.9×	302 0.9×	147 1.1×	8	1.2k
Aimée Bastidas-Ponce Germany	13	389 0.6×	398 0.7×	226 0.6×	148 0.5×	51 0.4×	19	677
Takao Nammo Japan	16	715 1.1×	762 1.3×	516 1.4×	322 1.0×	87 0.7×	32	1.3k
Nicolas Damond Switzerland	8	547 0.8×	319 0.5×	388 1.0×	388 1.2×	28 0.2×	11	817
Sophie Tritschler Germany	12	195 0.3×	505 0.8×	158 0.4×	87 0.3×	94 0.7×	13	745
Luís Arnes United States	16	300 0.5×	388 0.6×	116 0.3×	168 0.5×	201 1.5×	25	775
Hassan Mziaut Germany	15	309 0.5×	383 0.6×	155 0.4×	150 0.5×	63 0.5×	23	693
Sigal Shachar United States	11	134 0.2×	987 1.6×	119 0.3×	107 0.3×	192 1.4×	18	1.1k
Angela Raymond Canada	14	563 0.9×	286 0.5×	135 0.4×	97 0.3×	114 0.9×	17	839

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-authorship network of co-authors of Jinrang Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jinrang Kim. A scholar is included among the top collaborators of Jinrang Kim based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jinrang Kim. Jinrang Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Sui, Lina, Qi Su, Pauline Chabosseau, et al.. (2023). ZnT8 Loss of Function Mutation Increases Resistance of Human Embryonic Stem Cell-Derived Beta Cells to Apoptosis in Low Zinc Condition. Cells. 12(6). 903–903. 7 indexed citations

Sui, Lina, Yurong Xin, Leena Haataja, et al.. (2021). Reduced replication fork speed promotes pancreatic endocrine differentiation and controls graft size. JCI Insight. 6(5). 25 indexed citations

Yang, Tao, Nicole Alessandri‐Haber, Wen Fury, et al.. (2021). AdRoit is an accurate and robust method to infer complex transcriptome composition. Communications Biology. 4(1). 1218–1218. 16 indexed citations

Cavino, Katie, Biin Sung, Qi Su, et al.. (2020). Glucagon Receptor Inhibition Reduces Hyperammonemia and Lethality in Male Mice with Urea Cycle Disorder. Endocrinology. 162(1). 5 indexed citations

Xin, Yurong, Christina Adler, Jinrang Kim, et al.. (2019). Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets. Journal of Visualized Experiments. 8 indexed citations

Kim, Jinrang, Giselle Domínguez Gutiérrez, Yurong Xin, et al.. (2019). Increased SLC38A4 Amino Acid Transporter Expression in Human Pancreatic α-Cells After Glucagon Receptor Inhibition. Endocrinology. 160(5). 979–988. 23 indexed citations

Xin, Yurong, Christina Adler, Jinrang Kim, et al.. (2019). Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets. Journal of Visualized Experiments. 3 indexed citations

Gutiérrez, Giselle Domínguez, Jinrang Kim, Ann–Hwee Lee, et al.. (2018). Gene Signature of the Human Pancreatic ε Cell. Endocrinology. 159(12). 4023–4032. 22 indexed citations

Xin, Yurong, Giselle Domínguez Gutiérrez, Haruka Okamoto, et al.. (2018). Pseudotime Ordering of Single Human β-Cells Reveals States of Insulin Production and Unfolded Protein Response. Diabetes. 67(9). 1783–1794. 123 indexed citations

10.

Gutiérrez, Giselle Domínguez, Yurong Xin, Haruka Okamoto, et al.. (2018). Gene Signature of Proliferating Human Pancreatic α Cells. Endocrinology. 159(9). 3177–3186. 18 indexed citations

11.

Wang, Liheng, Lina Sui, Sunil K. Panigrahi, et al.. (2017). PC1/3 Deficiency Impacts Pro-opiomelanocortin Processing in Human Embryonic Stem Cell-Derived Hypothalamic Neurons. Stem Cell Reports. 8(2). 264–277. 23 indexed citations

12.

Kim, Jinrang, Haruka Okamoto, Shiuhwei Chen, et al.. (2017). Amino Acid Transporter Slc38a5 Controls Glucagon Receptor Inhibition-Induced Pancreatic α Cell Hyperplasia in Mice. Cell Metabolism. 25(6). 1348–1361.e8. 139 indexed citations

13.

Xin, Yurong, Jinrang Kim, Haruka Okamoto, et al.. (2016). RNA Sequencing of Single Human Islet Cells Reveals Type 2 Diabetes Genes. Cell Metabolism. 24(4). 608–615. 439 indexed citations breakdown →

14.

Xin, Yurong, Haruka Okamoto, Jinrang Kim, et al.. (2016). Single-Cell RNAseq Reveals That Pancreatic β-Cells From Very Old Male Mice Have a Young Gene Signature. Endocrinology. 157(9). 3431–3438. 23 indexed citations

15.

Xin, Yurong, Jinrang Kim, Min Ni, et al.. (2016). Use of the Fluidigm C1 platform for RNA sequencing of single mouse pancreatic islet cells. Proceedings of the National Academy of Sciences. 113(12). 3293–3298. 127 indexed citations

16.

Okamoto, Haruka, Jinrang Kim, Joseph Lee, et al.. (2015). Glucagon Receptor Blockade With a Human Antibody Normalizes Blood Glucose in Diabetic Mice and Monkeys. Endocrinology. 156(8). 2781–2794. 79 indexed citations

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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