Timothy Kwa

860 total citations
21 papers, 683 citations indexed

About

Timothy Kwa is a scholar working on Molecular Biology, Biomedical Engineering and Computer Vision and Pattern Recognition. According to data from OpenAlex, Timothy Kwa has authored 21 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 8 papers in Biomedical Engineering and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Timothy Kwa's work include Advanced biosensing and bioanalysis techniques (6 papers), Digital Imaging for Blood Diseases (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). Timothy Kwa is often cited by papers focused on Advanced biosensing and bioanalysis techniques (6 papers), Digital Imaging for Blood Diseases (4 papers) and Microfluidic and Bio-sensing Technologies (4 papers). Timothy Kwa collaborates with scholars based in United States, Ethiopia and South Korea. Timothy Kwa's co-authors include Alexander Revzin, Ying Liu, Yandong Gao, Qing Zhou, Zimple Matharu, Dong‐Sik Shin, Jun Yan, Michael C. Howland, Janarthanan Krishnamoorthy and Kokeb Dese and has published in prestigious journals such as Biomaterials, Analytical Chemistry and Sensors.

In The Last Decade

Timothy Kwa

21 papers receiving 673 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Timothy Kwa United States	12	360	320	68	68	65	21	683
Cheng Jin China	21	446 1.2×	964 3.0×	73 1.1×	86 1.3×	53 0.8×	47	1.4k
Zhijie Wang China	14	226 0.6×	590 1.8×	26 0.4×	208 3.1×	22 0.3×	46	984
Tatyana Zhukov United States	10	140 0.4×	325 1.0×	13 0.2×	101 1.5×	22 0.3×	20	584
Hyunku Shin South Korea	15	518 1.4×	853 2.7×	23 0.3×	37 0.5×	79 1.2×	24	1.3k
Christian Behrenbruch United Kingdom	10	498 1.4×	173 0.5×	156 2.3×	38 0.6×	140 2.2×	17	930
Kazuki Shimada Japan	13	59 0.2×	61 0.2×	35 0.5×	63 0.9×	93 1.4×	44	587
Byeong Hyeon Choi South Korea	13	429 1.2×	681 2.1×	19 0.3×	21 0.3×	67 1.0×	33	1.2k
Fereshteh Abbasvandi Iran	13	205 0.6×	166 0.5×	6 0.1×	72 1.1×	15 0.2×	43	527
Seunghyun Oh South Korea	10	227 0.6×	347 1.1×	14 0.2×	48 0.7×	43 0.7×	29	687

Countries citing papers authored by Timothy Kwa

Since Specialization

Citations

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

Fields of papers citing papers by Timothy Kwa

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Timothy Kwa

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

All Works

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20 of 20 papers shown

Dese, Kokeb, et al.. (2024). DeepLeish: a deep learning based support system for the detection of Leishmaniasis parasite from Giemsa-stained microscope images. BMC Medical Imaging. 24(1). 152–152. 10 indexed citations

Malengier, Benny, et al.. (2023). Evaluation of Novel Embroidered Textile-Electrodes Made from Hybrid Polyamide Conductive Threads for Surface EMG Sensing. Sensors. 23(9). 4397–4397. 10 indexed citations

Dese, Kokeb, et al.. (2022). Squamous Cell Carcinoma of Skin Cancer Margin Classification From Digital Histopathology Images Using Deep Learning. Cancer Control. 29. 2905550576–2905550576. 14 indexed citations

Ayana, Gelan, et al.. (2022). De-Speckling Breast Cancer Ultrasound Images Using a Rotationally Invariant Block Matching Based Non-Local Means (RIBM-NLM) Method. Diagnostics. 12(4). 862–862. 13 indexed citations

Kwa, Timothy, et al.. (2021). The improved survival rate and cost-effectiveness of a 7-day continuous subcutaneous insulin infusion set. Journal of Medical Economics. 24(1). 837–845. 3 indexed citations

Dese, Kokeb, Gelan Ayana, Tilahun Yemane, et al.. (2021). Accurate Machine-Learning-Based classification of Leukemia from Blood Smear Images. Clinical Lymphoma Myeloma & Leukemia. 21(11). e903–e914. 62 indexed citations

Mohammed, Mohammed Aliy, et al.. (2021). Quantitative analysis of blood cells from microscopic images using convolutional neural network. Medical & Biological Engineering & Computing. 59(1). 143–152. 10 indexed citations

Kwa, Timothy, et al.. (2021). Automatic Early Detection and Classification of Leukemia from Microscopic Blood Image. National Academic Digital Repository of Ethiopia. 1(1). 1–10. 11 indexed citations

Kwa, Timothy, et al.. (2019). Isothermal titration calorimetry and surface plasmon resonance analysis using the dynamic approach. Biochemistry and Biophysics Reports. 21. 100712–100712. 8 indexed citations

10.

Alemayehu, Esayas, et al.. (2018). Log D analysis using dynamic approach. Biochemistry and Biophysics Reports. 16. 1–11. 5 indexed citations

11.

Vu, Tam, Ali Rahimian, Gulnaz Stybayeva, et al.. (2015). Reconfigurable microfluidic device with integrated antibody arrays for capture, multiplexed stimulation, and cytokine profiling of human monocytes. Biomicrofluidics. 9(4). 44115–44115. 6 indexed citations

12.

Zhou, Qing, Dipali Patel, Timothy Kwa, et al.. (2015). Liver injury-on-a-chip: microfluidic co-cultures with integrated biosensors for monitoring liver cell signaling during injury. Lab on a Chip. 15(23). 4467–4478. 111 indexed citations

13.

Gao, Yandong, Qing Zhou, Zimple Matharu, et al.. (2014). A mathematical method for extracting cell secretion rate from affinity biosensors continuously monitoring cell activity. Biomicrofluidics. 8(2). 21501–21501. 10 indexed citations

14.

Kwa, Timothy, Qing Zhou, Yandong Gao, et al.. (2014). Reconfigurable microfluidics with integrated aptasensors for monitoring intercellular communication. Lab on a Chip. 14(10). 1695–1704. 30 indexed citations

15.

Zhou, Qing, Timothy Kwa, Yandong Gao, et al.. (2013). On-chip regeneration of aptasensors for monitoring cell secretion. Lab on a Chip. 14(2). 276–279. 43 indexed citations

16.

Shin, Dong‐Sik, Ying Liu, Yandong Gao, et al.. (2013). Correction to Micropatterned Surfaces Functionalized with Electroactive Peptides for Detecting Protease Release from Cells. Analytical Chemistry. 85(7). 3795–3795. 2 indexed citations

17.

Son, Kyung Jin, Dong‐Sik Shin, Timothy Kwa, Yandong Gao, & Alexander Revzin. (2013). Micropatterned Sensing Hydrogels Integrated with Reconfigurable Microfluidics for Detecting Protease Release from Cells. Analytical Chemistry. 85(24). 11893–11901. 37 indexed citations

18.

Liu, Ying, Timothy Kwa, & Alexander Revzin. (2012). Simultaneous detection of cell-secreted TNF-α and IFN-γ using micropatterned aptamer-modified electrodes. Biomaterials. 33(30). 7347–7355. 127 indexed citations

19.

Shin, Dong‐Sik, Ying Liu, Yandong Gao, et al.. (2012). Micropatterned Surfaces Functionalized with Electroactive Peptides for Detecting Protease Release from Cells. Analytical Chemistry. 85(1). 220–227. 63 indexed citations

20.

Liu, Ying, Jun Yan, Michael C. Howland, Timothy Kwa, & Alexander Revzin. (2011). Micropatterned Aptasensors for Continuous Monitoring of Cytokine Release from Human Leukocytes. Analytical Chemistry. 83(21). 8286–8292. 84 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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