David Suh

1.8k total citations
31 papers, 1.1k citations indexed

About

David Suh is a scholar working on Immunology, Hematology and Molecular Biology. According to data from OpenAlex, David Suh has authored 31 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Immunology, 11 papers in Hematology and 9 papers in Molecular Biology. Recurrent topics in David Suh's work include Hematopoietic Stem Cell Transplantation (11 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (8 papers). David Suh is often cited by papers focused on Hematopoietic Stem Cell Transplantation (11 papers), Immune Cell Function and Interaction (8 papers) and Immunotherapy and Immune Responses (8 papers). David Suh collaborates with scholars based in United States, Canada and Australia. David Suh's co-authors include Marcel R.M. van den Brink, Odette M. Smith, Gabrielle L. Goldberg, Thomas K. Hunt, Christopher King, Sydney X. Lu, Glenn Heller, Chen Liu, Amanda M. Holland and Jeremy Grubin and has published in prestigious journals such as Blood, Nature Biotechnology and The Journal of Immunology.

In The Last Decade

David Suh

30 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Suh United States 17 554 388 243 211 104 31 1.1k
Marcel P. Keller Switzerland 16 424 0.8× 124 0.3× 603 2.5× 154 0.7× 217 2.1× 33 1.3k
Laura Ciudad Spain 20 392 0.7× 200 0.5× 512 2.1× 133 0.6× 184 1.8× 33 1.1k
Sesha Reddigari United States 17 531 1.0× 199 0.5× 252 1.0× 157 0.7× 53 0.5× 38 1.2k
Florent Dumont France 19 529 1.0× 111 0.3× 634 2.6× 181 0.9× 98 0.9× 50 1.6k
Norihisa Mikami Japan 14 817 1.5× 29 0.1× 365 1.5× 298 1.4× 93 0.9× 32 1.5k
C. Garbarsch Denmark 21 208 0.4× 38 0.1× 602 2.5× 138 0.7× 46 0.4× 58 1.4k
Luc Aguilar France 14 816 1.5× 76 0.2× 296 1.2× 79 0.4× 39 0.4× 24 1.5k
Richard S. Kalish United States 27 803 1.4× 46 0.1× 339 1.4× 106 0.5× 105 1.0× 56 2.2k
Sarah Shapiro Israel 17 332 0.6× 176 0.5× 334 1.4× 235 1.1× 41 0.4× 34 1.3k
Hongsong Yu China 20 329 0.6× 87 0.2× 386 1.6× 66 0.3× 121 1.2× 77 1.2k

Countries citing papers authored by David Suh

Since Specialization
Citations

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

Fields of papers citing papers by David Suh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Suh

This figure shows the co-authorship network connecting the top 25 collaborators of David Suh. A scholar is included among the top collaborators of David Suh 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 David Suh. David Suh 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.
Suh, David, Phyllis Yan, Rodney L. Dunn, et al.. (2024). Using national in vitro fertilization registries to validate clinical outcomes after in vitro fertilization covered by health insurance. Fertility and Sterility. 123(6). 1029–1038.
2.
Meng, Shi‐Yuan, Ned Van Eps, Eric Ka‐Wai Hui, et al.. (2022). Site‐directed mutagenesis of HLA molecules reveals the functional epitope of a human HLA‐A1/A36‐specific monoclonal antibody. HLA. 101(2). 138–142. 4 indexed citations
3.
Suh, David, et al.. (2022). Health Literacy Level and Comprehension of Prescription and Nonprescription Drug Information. International Journal of Environmental Research and Public Health. 19(11). 6665–6665. 18 indexed citations
4.
Phan, Chau‐Minh, Manish R. Shukla, H. Walther, et al.. (2021). Development of an In Vitro Blink Model for Ophthalmic Drug Delivery. Pharmaceutics. 13(3). 300–300. 15 indexed citations
5.
Maus, Máté, Martin Vaeth, Ingo Lange, et al.. (2018). STIM1 and STIM2 Mediate Cancer-Induced Inflammation in T Cell Acute Lymphoblastic Leukemia. Cell Reports. 24(11). 3045–3060.e5. 24 indexed citations
6.
Diab, Adi, Robert R. Jenq, Gabrielle Rizzuto, et al.. (2013). Enhanced Responses to Tumor Immunization Following Total Body Irradiation Are Time-Dependent. PLoS ONE. 8(12). e82496–e82496. 9 indexed citations
7.
Jeong, Chaiho, et al.. (2013). In-vehicle display HMI safety evaluation using a driving simulator. International Journal of Automotive Technology. 14(6). 987–992. 20 indexed citations
8.
Russell, Jacob A., Ysabel Milton Giraldo, Benjamin Goldman-Huertas, et al.. (2012). A Veritable Menagerie of Heritable Bacteria from Ants, Butterflies, and Beyond: Broad Molecular Surveys and a Systematic Review. PLoS ONE. 7(12). e51027–e51027. 104 indexed citations
9.
Penack, Olaf, Erik Henke, David Suh, et al.. (2010). Inhibition of Neovascularization to Simultaneously Ameliorate Graft-vs-Host Disease and Decrease Tumor Growth. JNCI Journal of the National Cancer Institute. 102(12). 894–908. 48 indexed citations
10.
Goldberg, Gabrielle L., Christopher King, David Suh, et al.. (2009). Luteinizing Hormone-Releasing Hormone Enhances T Cell Recovery following Allogeneic Bone Marrow Transplantation. The Journal of Immunology. 182(9). 5846–5854. 64 indexed citations
11.
Rotolo, Jimmy A., Branka Stancevic, Sydney X. Lu, et al.. (2009). Cytolytic T cells induce ceramide-rich platforms in target cell membranes to initiate graft-versus-host disease. Blood. 114(17). 3693–3706. 19 indexed citations
12.
Zakrzewski, Johannes L., David Suh, John C. Markley, et al.. (2008). Tumor immunotherapy across MHC barriers using allogeneic T-cell precursors. Nature Biotechnology. 26(4). 453–461. 89 indexed citations
14.
Lu, Sydney X., Neel Patel, Suzanne McGoldrick, et al.. (2008). Rapidly proliferating CD44hi peripheral T cells undergo apoptosis and delay posttransplantation T-cell reconstitution after allogeneic bone marrow transplantation. Blood. 112(12). 4755–4764. 13 indexed citations
15.
Jenq, Robert R., Christopher King, Christine Volk, et al.. (2008). Keratinocyte growth factor enhances DNA plasmid tumor vaccine responses after murine allogeneic bone marrow transplantation. Blood. 113(7). 1574–1580. 20 indexed citations
16.
Kappel, Lucy W., Gabrielle L. Goldberg, Christopher King, et al.. (2008). IL-17 contributes to CD4-mediated graft-versus-host disease. Blood. 113(4). 945–952. 211 indexed citations
17.
Penack, Olaf, Erik Henke, David Suh, et al.. (2008). Depletion of Vascular Endothelial Progenitor Cells Inhibits Inflammation. Blood. 112(11). 694–694. 1 indexed citations
18.
19.
Suh, David, et al.. (2005). Long-term result of prospective randomized comparison of antecolic vs. retrocolic roux limb for Roux-en-Y gastric bypass. Surgery for Obesity and Related Diseases. 1(3). 235–235. 1 indexed citations
20.
Feng, John J., David D. Zabel, Hui Yuan, et al.. (2000). Lactate elicits vascular endothelial growth factor from macrophages: a possible alternative to hypoxia. Wound Repair and Regeneration. 8(5). 353–360. 128 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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