David Su

642 total citations
58 papers, 363 citations indexed

About

David Su is a scholar working on Electrical and Electronic Engineering, Computer Networks and Communications and Oncology. According to data from OpenAlex, David Su has authored 58 papers receiving a total of 363 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 11 papers in Computer Networks and Communications and 10 papers in Oncology. Recurrent topics in David Su's work include Network Traffic and Congestion Control (9 papers), Advanced Optical Network Technologies (8 papers) and Intraperitoneal and Appendiceal Malignancies (6 papers). David Su is often cited by papers focused on Network Traffic and Congestion Control (9 papers), Advanced Optical Network Technologies (8 papers) and Intraperitoneal and Appendiceal Malignancies (6 papers). David Su collaborates with scholars based in United States, Taiwan and Singapore. David Su's co-authors include Nada Golmie, Chee Keong Chong, Su Ming Tan, Ronald F. Boisvert, Charles W. Clark, Barry Hershman, Joshua C. Bienfang, Carl J. Williams, Alan Mink and Xiao Tang and has published in prestigious journals such as Nature Communications, Journal of Clinical Oncology and Applied Physics Letters.

In The Last Decade

David Su

43 papers receiving 347 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Su United States	11	105	66	62	61	55	58	363
Yu-Hsiang Lin Taiwan	12	85 0.8×	87 1.3×	22 0.4×	101 1.7×	2 0.0×	39	506
Andrew R. McGee United States	10	34 0.3×	65 1.0×	13 0.2×	42 0.7×	9 0.2×	19	375
Suyun Wang China	19	55 0.5×	31 0.5×	16 0.3×	31 0.5×	12 0.2×	41	1.0k
Yen-Cheng Chen Taiwan	10	112 1.1×	6 0.1×	5 0.1×	14 0.2×	47 0.9×	30	367
Takahiro Aoki Japan	15	162 1.5×	12 0.2×	7 0.1×	123 2.0×	6 0.1×	64	611
Iain Lindsay United Kingdom	22	92 0.9×	73 1.1×	31 0.5×	88 1.4×		75	1.6k
N. Sambasiva Rao India	8	18 0.2×	11 0.2×	52 0.8×	21 0.3×	128 2.3×	30	761
Tae-Joong Kim South Korea	9	96 0.9×	36 0.5×	6 0.1×	117 1.9×	34 0.6×	16	395
D. Iancu United States	12	83 0.8×	79 1.2×	7 0.1×	98 1.6×	16 0.3×	24	382

Countries citing papers authored by David Su

Since Specialization

Citations

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

Fields of papers citing papers by David Su

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Su

This figure shows the co-authorship network connecting the top 25 collaborators of David Su. A scholar is included among the top collaborators of David Su 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 Su. David Su 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

Brown, Leanne, David Su, Kiran K. Turaga, et al.. (2025). Consensus guideline for the management of peritoneal mesothelioma. Cancer. 131(13). e35868–e35868.

Su, David, Leanne Brown, Seth J. Concors, et al.. (2025). Consensus guideline for the management of peritoneal metastases from neuroendocrine neoplasms. Cancer. 131(13). e35871–e35871.

Su, David, Leanne Brown, Seth J. Concors, et al.. (2025). Consensus Guideline for the Management of Peritoneal Metastases from Neuroendocrine Neoplasms. Annals of Surgical Oncology. 1 indexed citations

Su, David, Beatrice J. Sun, Kiran K. Turaga, et al.. (2025). Consensus guideline for the management of gastric cancer with synchronous peritoneal metastases. Cancer. 131(13). e35870–e35870.

Schoenfeld, David A., Dijana Djureinovic, David Su, et al.. (2024). Decoy-resistant IL-18 reshapes the tumor microenvironment and enhances rejection by anti–CTLA-4 in renal cell carcinoma. JCI Insight. 10(1). 6 indexed citations

Wei, P. S., et al.. (2024). Thermal processes affected by carbon dioxide near ground surface. Results in Engineering. 24. 103300–103300. 3 indexed citations

Su, David, Yuanyuan Zha, Ardaman Shergill, et al.. (2024). Mutational Features and Tumor Microenvironment Alterations in High-Grade Appendiceal Cancers Treated With Iterative Hyperthermic Intraperitoneal Chemotherapy. JCO Precision Oncology. 8(8). e2400149–e2400149. 2 indexed citations

Zeineddine, Mohammad A., David Su, Chih‐Yi Liao, et al.. (2024). Multi-Institutional Study Evaluating the Role of Circulating Tumor DNA in the Management of Appendiceal Cancers. JCO Precision Oncology. 8(8). e2300531–e2300531. 1 indexed citations

Su, David, Dijana Djureinovic, David A. Schoenfeld, et al.. (2024). Melanocortin-1 Receptor Expression as a Marker of Progression in Melanoma. JCO Precision Oncology. 8(8). e2300702–e2300702. 4 indexed citations

10.

Jilaveanu, Lucia B., Adebowale Adeniran, David Su, et al.. (2024). TIGIT expression in renal cell carcinoma infiltrating T cells is variable and inversely correlated with PD-1 and LAG3. Cancer Immunology Immunotherapy. 73(10). 192–192. 2 indexed citations

11.

Su, David, et al.. (2024). Outcomes Following Implementation of an Electronic Model for Perioperative Hematologic Consultation. Journal of Surgical Research. 301. 10–17.

12.

Su, David, David A. Schoenfeld, Raysa Cabrejo, et al.. (2024). Digital spatial proteomic profiling reveals immune checkpoints as biomarkers in lymphoid aggregates and tumor microenvironment of desmoplastic melanoma. Journal for ImmunoTherapy of Cancer. 12(3). e008646–e008646. 4 indexed citations

13.

Mann, Jacqueline E., David Su, Adebowale Adeniran, et al.. (2024). GP100 expression is variable in intensity in melanoma. Cancer Immunology Immunotherapy. 73(10). 191–191. 3 indexed citations

14.

Su, David, Jeffrey J. Ishizuka, Thuy Tran, et al.. (2024). Real-world outcomes with T-VEC in patients with anti-PD-1 resistant in-transit disease from melanoma and Merkel cell carcinoma. 2(1). 100120–100120.

15.

Su, David, et al.. (2024). Coronary Artery Disease (CAD) is the Dominant Manifestation of Patients With Atherosclerotic Cardiovascular Disease (ASCVD). Journal of Vascular Surgery. 79(6). e294–e294.

16.

Su, David, et al.. (2023). Premature atherosclerosis: A review of current literature. 1. 100013–100013.

17.

Su, David, Harriet M. Kluger, & Kelly Olino. (2023). Educational Review: Clinical Application of Immune Checkpoint Blockade for the Treatment of Melanoma. Annals of Surgical Oncology. 31(3). 1865–1879. 6 indexed citations

18.

Yu, Wen‐Han, David Su, Christine M. Fennessey, et al.. (2019). Predicting the broadly neutralizing antibody susceptibility of the HIV reservoir. JCI Insight. 4(17). 23 indexed citations

19.

Su, David, et al.. (2001). An Internet-based system of gear design optimization using Java servlets. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 2 indexed citations

20.

Golmie, Nada, et al.. (1996). A rate based flow control switch design for ABR service in an ATM network. 766–770. 13 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.

Explore authors with similar magnitude of impact