John Yang

2.4k total citations
87 papers, 632 citations indexed

About

John Yang is a scholar working on Immunology, Hematology and Transplantation. According to data from OpenAlex, John Yang has authored 87 papers receiving a total of 632 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Immunology, 20 papers in Hematology and 14 papers in Transplantation. Recurrent topics in John Yang's work include T-cell and B-cell Immunology (28 papers), Immune Cell Function and Interaction (26 papers) and Renal Transplantation Outcomes and Treatments (14 papers). John Yang is often cited by papers focused on T-cell and B-cell Immunology (28 papers), Immune Cell Function and Interaction (26 papers) and Renal Transplantation Outcomes and Treatments (14 papers). John Yang collaborates with scholars based in South Korea, United States and Germany. John Yang's co-authors include Heung‐Bum Oh, Pınar Bayrak‐Toydemir, William G. Fairbrother, Rachel Soemedi, Hee Joo Lee, Jamie McDonald, Jing Wang, Christy L. Rhine, Kamil J. Cygan and Tae Sung Park and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Genetics and International Journal of Molecular Sciences.

In The Last Decade

John Yang

76 papers receiving 623 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
John Yang South Korea	11	282	112	85	83	82	87	632
Alida Harahap Indonesia	13	134 0.5×	122 1.1×	98 1.2×	155 1.9×	60 0.7×	90	644
Glenda M. Davison South Africa	15	178 0.6×	167 1.5×	79 0.9×	52 0.6×	68 0.8×	44	607
Michał Matysiak Poland	15	444 1.6×	282 2.5×	45 0.5×	104 1.3×	134 1.6×	117	937
Judit Müller Hungary	14	145 0.5×	96 0.9×	60 0.7×	36 0.4×	82 1.0×	47	525
Jingbo Wang China	14	141 0.5×	289 2.6×	48 0.6×	88 1.1×	139 1.7×	79	636
Jacob Sode Denmark	11	195 0.7×	90 0.8×	115 1.4×	44 0.5×	53 0.6×	18	672
Issaka Yougbaré Canada	13	236 0.8×	402 3.6×	55 0.6×	52 0.6×	54 0.7×	23	847
Xiaowen Zhai China	12	120 0.4×	115 1.0×	35 0.4×	50 0.6×	99 1.2×	66	406
E. J. Steenbergen Netherlands	18	262 0.9×	68 0.6×	40 0.5×	52 0.6×	46 0.6×	33	1.0k
Jeong Won Shin South Korea	11	96 0.3×	156 1.4×	58 0.7×	51 0.6×	43 0.5×	39	419

Countries citing papers authored by John Yang

Since Specialization

Citations

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

Fields of papers citing papers by John Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Yang

This figure shows the co-authorship network connecting the top 25 collaborators of John Yang. A scholar is included among the top collaborators of John Yang 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 John Yang. John Yang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Yang, John, et al.. (2025). The Novel HLA‐C Allele, HLA‐C*01:285Q , With a Modified Start Codon. HLA. 105(5). e70219–e70219.

Yang, John & Sang‐Hyun Hwang. (2025). Transforming hematological research documentation with large language models: an approach to scientific writing and data analysis. Blood Research. 60(1). 15–15. 2 indexed citations

Yu, Stephen, et al.. (2025). Characterisation of the Novel HLA ‐ DQB1 Allele, HLA‐DQB1*03:533 by Next Generation Sequencing. HLA. 106(6). e70510–e70510.

Yang, John, et al.. (2025). Status quo of histocompatibility testing and prospects for virtual crossmatching within the Korean kidney allocation system: survey of laboratory directors. PubMed. 39(3). 259–268.

Yang, John & Heung‐Bum Oh. (2024). Genomic full‐length sequence of the novel HLA‐C*06:364 allele. HLA. 103(6). e15553–e15553. 1 indexed citations

Yang, John, et al.. (2024). The novel HLA‐DQA1*03:75 allele identified in a Korean kidney donor. HLA. 104(1). e15627–e15627. 2 indexed citations

Yang, John, et al.. (2024). The HLA‐C*14:152 Allele Was Identified Using a Next‐Generation Sequencing Method. HLA. 104(4). e15714–e15714. 1 indexed citations

Yang, John & Heung‐Bum Oh. (2024). Genomic full‐length sequence of the novel HLA‐B*56:94 allele. HLA. 103(3). e15452–e15452. 2 indexed citations

Yang, John, et al.. (2023). The novel HLA‐C allele, HLA‐C*01:02:84 allele, identified in a solid organ transplantation donor. HLA. 103(1). e15255–e15255. 2 indexed citations

10.

Macnamara, Ellen F., Yvonne L. Latour, Precilla D’Souza, et al.. (2023). Risks and benefits of anesthesia for combined pediatric procedures in the NIH undiagnosed diseases program. Molecular Genetics and Metabolism. 140(3). 107707–107707. 1 indexed citations

11.

Yang, John, et al.. (2022). Rh(D) Alloimmunization Risk After Rh(D)-Incompatible Solid Organ Transplantations in Rh(D)-Negative Recipients. American Journal of Clinical Pathology. 158(1). 8–12. 1 indexed citations

12.

Yang, John, Su Jin Lee, Dae‐Hyun Ko, et al.. (2021). Simple Cryopreserved Whole Blood Is Comparable to Peripheral Blood Mononuclear Cells for Quantification of Human Regulatory T Cells. Biopreservation and Biobanking. 20(2). 201–203.

13.

Kim, Min‐Sun, John Yang, Han‐Seung Park, et al.. (2021). Effective Management of a Patient with Acquired Coagulation Factor Inhibitors Using Therapeutic Plasma Exchange Alone. Laboratory Medicine Online. 11(3). 203–207.

14.

Yang, John, Sang‐Hyun Hwang, Dae‐Hyun Ko, Eul‐Ju Seo, & Heung‐Bum Oh. (2018). Tri-allelic expression of HLA gene in 46,XX/46,XY chimerism. Transplant Immunology. 53. 38–42.

15.

Soemedi, Rachel, Kamil J. Cygan, Christy L. Rhine, et al.. (2017). Pathogenic variants that alter protein code often disrupt splicing. Nature Genetics. 49(6). 848–855. 151 indexed citations

16.

Cho, Sun Young, John Yang, Hee Joo Lee, et al.. (2013). Plasma Cell Neoplasms Showing Multilobulated Nuclei. Acta Haematologica. 130(2). 98–100. 1 indexed citations

17.

Kim, Min Jin, John Yang, Claus Meyer, Rolf Marschalek, & Tae Sung Park. (2012). Molecular methods for genomic analyses of variant PML-RARA or other RARA -related chromosomal translocations in acute promyelocytic leukemia. The Korean Journal of Hematology. 47(4). 307–307. 5 indexed citations

18.

Lee, Sang‐Guk, Tae Sung Park, John Yang, et al.. (2012). Molecular Identification of a New Splicing Variant of the MLL-MLLT11 Fusion Transcript in an Adult with Acute Myeloid Leukemia and t(1;11)(q21;q23). Acta Haematologica. 128(3). 131–138. 1 indexed citations

19.

Yang, John, Seung Hwan Oh, Sun Young Cho, et al.. (2011). Submicroscopic Deletion of RUNX1T1 Gene Confirmed by High-Resolution Microarray in Acute Myeloid Leukemia with RUNX1/RUNX1T1 Rearrangement. Acta Haematologica. 127(1). 43–46. 2 indexed citations

20.

Yoon, Yeong Sook, Sang Woo Oh, Eon Sook Lee, et al.. (2003). Current State and Demand of Esophagogastroduodenoscopy Training in Family Practice Residency Programs.. Gajeong yihag hoeji. 24(12). 1092–1098. 4 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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