Hong Rae Cho

2.5k total citations · 1 hit paper
50 papers, 2.0k citations indexed

About

Hong Rae Cho is a scholar working on Surgery, Immunology and Transplantation. According to data from OpenAlex, Hong Rae Cho has authored 50 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Surgery, 16 papers in Immunology and 14 papers in Transplantation. Recurrent topics in Hong Rae Cho's work include Renal Transplantation Outcomes and Treatments (12 papers), T-cell and B-cell Immunology (12 papers) and Organ Transplantation Techniques and Outcomes (8 papers). Hong Rae Cho is often cited by papers focused on Renal Transplantation Outcomes and Treatments (12 papers), T-cell and B-cell Immunology (12 papers) and Organ Transplantation Techniques and Outcomes (8 papers). Hong Rae Cho collaborates with scholars based in South Korea, United States and Germany. Hong Rae Cho's co-authors include Carol Tucker‐Burden, Thomas C. Pearson, Christian P. Larsen, Diane Z. Alexander, Rose Hendrix, Kevin J. Winn, Eric T. Elwood, Diane Hollenbaugh, Shannon C. Ritchie and Peter S. Linsley and has published in prestigious journals such as Nature, Journal of Biological Chemistry and The Journal of Immunology.

In The Last Decade

Hong Rae Cho

46 papers receiving 1.9k citations

Hit Papers

Long-term acceptance of skin and cardiac allografts after... 1996 2026 2006 2016 1996 400 800 1.2k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hong Rae Cho South Korea 16 1.1k 562 412 344 248 50 2.0k
Diane Z. Alexander United States 12 1.7k 1.5× 779 1.4× 597 1.4× 367 1.1× 193 0.8× 14 2.5k
M H Sayegh United States 18 1.3k 1.1× 519 0.9× 475 1.2× 209 0.6× 128 0.5× 32 1.9k
Sylvie Ferrari‐Lacraz Switzerland 20 1.0k 0.9× 338 0.6× 320 0.8× 352 1.0× 344 1.4× 60 1.9k
Manfred Lehmann Germany 19 699 0.6× 406 0.7× 267 0.6× 347 1.0× 109 0.4× 58 1.4k
Catharine M. Chase United States 22 1.1k 1.0× 860 1.5× 726 1.8× 241 0.7× 122 0.5× 39 2.0k
R P Lowry United States 13 1.4k 1.3× 397 0.7× 287 0.7× 228 0.7× 175 0.7× 37 1.9k
Sophie Hillion France 26 1.1k 1.0× 173 0.3× 229 0.6× 268 0.8× 148 0.6× 56 1.7k
I.R. Badell United States 21 508 0.5× 682 1.2× 362 0.9× 529 1.5× 326 1.3× 40 1.7k
Abdul S. Rao United States 28 1.2k 1.0× 1.3k 2.3× 728 1.8× 280 0.8× 254 1.0× 73 2.9k
Nelson Goes United States 15 693 0.6× 791 1.4× 846 2.1× 243 0.7× 334 1.3× 31 2.0k

Countries citing papers authored by Hong Rae Cho

Since Specialization
Citations

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

Fields of papers citing papers by Hong Rae Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hong Rae Cho. 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 Hong Rae Cho. The network helps show where Hong Rae Cho may publish in the future.

Co-authorship network of co-authors of Hong Rae Cho

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

All Works

20 of 20 papers shown
1.
Kim, Min Soo, et al.. (2023). Efficacy and Safety of Early Anti-inflammatory Drug Therapy for Secondary Injury in Traumatic Brain Injury. World Neurosurgery. 172. e646–e654. 9 indexed citations
2.
Lee, Jun Young, Sung Hwa Kim, Kyung Hwan Jeong, et al.. (2021). Risk Due to ABO Incompatibility and Donor-Recipient Weight Mismatch in Living Donor Kidney Transplantation: A National Cohort Study. Journal of Clinical Medicine. 10(23). 5674–5674. 1 indexed citations
3.
島津, 敬, In‐Hyuk Jung, Shin Hye Moon, et al.. (2020). CD137 Signaling Regulates Acute Colitis via RALDH2-Expressing CD11b−CD103+ DCs. Cell Reports. 30(12). 4124–4136.e5. 13 indexed citations
4.
Park, Kyung, Sang Jun Park, Hojong Park, et al.. (2019). Association of baseline histopathology and kidney donor risk index with graft outcomes in deceased donor kidney transplantation. Clinical Nephrology. 91(6). 363–369. 1 indexed citations
5.
Park, Hojong, et al.. (2019). Factors of Acute Kidney Injury Donors Affecting Outcomes of Kidney Transplantation From Deceased Donors. Transplantation Proceedings. 51(8). 2575–2581. 11 indexed citations
6.
Park, Hojong, et al.. (2018). Kidney Donation From a Patient Who Underwent Endovascular Aneurysm Repair. Experimental and Clinical Transplantation. 17(4). 561–563.
7.
Kim, Hyangkyoung, et al.. (2017). Outcomes of Spontaneous Isolated Superior Mesenteric Artery Dissection Without Antithrombotic Use. European Journal of Vascular and Endovascular Surgery. 55(1). 132–137. 25 indexed citations
9.
Oh, Chang‐Kwon, Kyu Ha Huh, Jong Soo Lee, Hong Rae Cho, & Yu Seun Kim. (2014). Safety and Efficacy of Conversion from Twice-Daily Tacrolimus to Once-Daily Tacrolimus One Month after Transplantation: Randomized Controlled Trial in Adult Renal Transplantation. Yonsei Medical Journal. 55(5). 1341–1341. 9 indexed citations
11.
Park, Sang Jun, et al.. (2009). The Usefulness of the Computed Tomography for Diagnosing DeepVenous Thrombosis of the Lower Extremities. 25(1). 12–16. 2 indexed citations
12.
Kim, Jong Soo, Ji Hae Lee, Dae Hwa Choi, et al.. (2007). Reactive oxygen species‐dependent EndoG release mediates cisplatin‐induced caspase‐independent apoptosis in human head and neck squamous carcinoma cells. International Journal of Cancer. 122(3). 672–680. 49 indexed citations
13.
Kim, Jeong‐Eun, et al.. (2006). 4-1BB (CD137) signals depend upon CD28 signals in alloimmune responses. Experimental & Molecular Medicine. 38(6). 606–615. 2 indexed citations
14.
Nah, Yang Won, Jae‐Hee Suh, Dae Hwa Choi, et al.. (2006). Benign retroperitoneal schwannoma: surgical consideration.. PubMed. 52(66). 1681–4. 18 indexed citations
15.
Kim, Hawk, Jae-Hoo Park, Sung‐Jo Bang, et al.. (2005). A Phase II Study of Docetaxel and Cisplatin in Patients with Gastric Cancer Recurring After or Progressing During 5-FU/Platinum Treatment. Japanese Journal of Clinical Oncology. 35(12). 727–732. 9 indexed citations
16.
Lee, Seung Koo, Jong Soo Kim, Chang Hoon Moon, et al.. (2005). Butyrate response factor 1 enhances cisplatin sensitivity in human head and neck squamous cell carcinoma cell lines. International Journal of Cancer. 117(1). 32–40. 33 indexed citations
17.
Kwon, Byungsuk, Byung-Sam Kim, Hong Rae Cho, Jeong-Euy Park, & Byoung S. Kwon. (2003). Involvement of tumor necrosis factor receptor superfamily (TNFRSF) members in the pathogenesis of inflammatory diseases. Experimental & Molecular Medicine. 35(1). 8–16. 46 indexed citations
18.
Bingaman, Adam W., Jongwon Ha, Megan M. Durham, et al.. (2000). Vigorous Allograft Rejection in the Absence of Danger. The Journal of Immunology. 164(6). 3065–3071. 62 indexed citations
19.
Elwood, Eric T., Christian P. Larsen, Hong Rae Cho, et al.. (1998). PROLONGED ACCEPTANCE OF CONCORDANT AND DISCORDANT XENOGRAFTS WITH COMBINED CD40 AND CD28 PATHWAY BLOCKADE1. Transplantation. 65(11). 1422–1428. 102 indexed citations
20.
Larsen, Christian P., Eric T. Elwood, Diane Z. Alexander, et al.. (1996). Long-term acceptance of skin and cardiac allografts after blocking CD40 and CD28 pathways. Nature. 381(6581). 434–438. 1213 indexed citations breakdown →

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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