David Dang

649 total citations
9 papers, 492 citations indexed

About

David Dang is a scholar working on Molecular Biology, Clinical Psychology and Pulmonary and Respiratory Medicine. According to data from OpenAlex, David Dang has authored 9 papers receiving a total of 492 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 2 papers in Clinical Psychology and 2 papers in Pulmonary and Respiratory Medicine. Recurrent topics in David Dang's work include Cancer-related molecular mechanisms research (2 papers), Advanced Biosensing Techniques and Applications (1 paper) and RNA modifications and cancer (1 paper). David Dang is often cited by papers focused on Cancer-related molecular mechanisms research (2 papers), Advanced Biosensing Techniques and Applications (1 paper) and RNA modifications and cancer (1 paper). David Dang collaborates with scholars based in United States. David Dang's co-authors include Matthew Teater, Ronald G. Crystal, Ben‐Gary Harvey, Dan T. A. Eisenberg, Meera E. Modi, J. Koji Lum, James MacKillop, Stephen A. Lisman, David Sloan Wilson and Yael Strulovici‐Barel and has published in prestigious journals such as Gastroenterology, Cellular and Molecular Life Sciences and Molecular Cancer.

In The Last Decade

David Dang

9 papers receiving 475 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
David Dang United States	6	158	136	96	64	61	9	492
Kathleen D. Askland United States	10	43 0.3×	112 0.8×	76 0.8×	35 0.5×	74 1.2×	14	415
Jennifer L. Crawford United States	11	13 0.1×	46 0.3×	45 0.5×	32 0.5×	39 0.6×	28	429
Keiko Nakano Japan	12	96 0.6×	69 0.5×	111 1.2×	48 0.8×	9 0.1×	36	508
Sheng Feng China	12	41 0.3×	28 0.2×	53 0.6×	193 3.0×	21 0.3×	24	589
Yanyu Wang China	17	48 0.3×	114 0.8×	223 2.3×	166 2.6×	30 0.5×	64	851
Liping Fu China	10	46 0.3×	47 0.3×	33 0.3×	58 0.9×	12 0.2×	19	511
Line Olsen Denmark	13	36 0.2×	392 2.9×	144 1.5×	35 0.5×	30 0.5×	17	868
Pavlov Ka Russia	12	26 0.2×	114 0.8×	73 0.8×	23 0.4×	33 0.5×	50	533
Sarah Cooper United States	10	33 0.2×	87 0.6×	40 0.4×	24 0.4×	77 1.3×	21	648
Stella Iurato Germany	5	54 0.3×	233 1.7×	79 0.8×	26 0.4×	47 0.8×	7	475

Countries citing papers authored by David Dang

Since Specialization

Citations

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

Fields of papers citing papers by David Dang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Dang

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

All Works

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9 of 9 papers shown

Dang, David, et al.. (2025). Quantum biosensing on a multiplexed functionalized diamond microarray. ArXiv.org. 1 indexed citations

Nolan, David, Timothy R. Morgan, Elango Kathirvel, et al.. (2014). Sa1062 Effect of 12 Weeks of Oral Betaine on Homeostasic Model Assessment of Insulin Resistance (Homa-IR) in Non-Diabetic Subjects With Mildly Elevated Fasting Blood Sugar. Gastroenterology. 146(5). S–950. 1 indexed citations

Dang, David, et al.. (2013). How to recognize and treat childhood leukemia. JAAPA. 26(7). 37–41. 2 indexed citations

Shaykhiev, Renat, Fouad Otaki, David Dang, et al.. (2010). Cigarette smoking reprograms apical junctional complex molecular architecture in the human airway epithelium in vivo. Cellular and Molecular Life Sciences. 68(5). 877–892. 167 indexed citations

Oyesanya, Regina A., David Dang, Abir Mukherjee, et al.. (2010). Differential requirement of the epidermal growth factor receptor for G protein-mediated activation of transcription factors by lysophosphatidic acid. Molecular Cancer. 9(1). 8–8. 20 indexed citations

Turetz, Meredith L., Timothy P. O’Connor, Ann E. Tilley, et al.. (2009). Trachea Epithelium as a “Canary” for Cigarette Smoking‐Induced Biologic Phenotype of the Small Airway Epithelium. Clinical and Translational Science. 2(4). 260–272. 15 indexed citations

Raman, Tina, Timothy P. O’Connor, Neil R. Hackett, et al.. (2009). Quality control in microarray assessment of gene expression in human airway epithelium. BMC Genomics. 10(1). 493–493. 74 indexed citations

Eisenberg, Dan T. A., James MacKillop, Meera E. Modi, et al.. (2007). Examining impulsivity as an endophenotype using a behavioral approach: a DRD2 TaqI A and DRD4 48-bp VNTR association study.. Behavioral and Brain Functions. 3(1). 2–2. 190 indexed citations

Eisenberg, Dan T. A., Benjamin Campbell, James MacKillop, et al.. (2007). Polymorphisms in the Dopamine D4 and D2 Receptor Genes and Reproductive and Sexual Behaviors. Evolutionary Psychology. 5(4). 22 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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