Melvin Au

871 total citations
8 papers, 422 citations indexed

About

Melvin Au is a scholar working on Infectious Diseases, Molecular Biology and Immunology. According to data from OpenAlex, Melvin Au has authored 8 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Infectious Diseases, 4 papers in Molecular Biology and 4 papers in Immunology. Recurrent topics in Melvin Au's work include Tuberculosis Research and Epidemiology (3 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Melvin Au is often cited by papers focused on Tuberculosis Research and Epidemiology (3 papers), T-cell and B-cell Immunology (3 papers) and Immune Cell Function and Interaction (3 papers). Melvin Au collaborates with scholars based in Singapore, United States and Switzerland. Melvin Au's co-authors include Charles Gullo, Gerrard Teoh, Feng Ge, Luis R. Camacho, Jun Zheng, Kévin Pethe, John R. Walker, Pablo Bifani, Eric J. Rubin and Jichan Jang and has published in prestigious journals such as Journal of Biological Chemistry, Angewandte Chemie International Edition and Leukemia.

In The Last Decade

Melvin Au

8 papers receiving 419 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Melvin Au Singapore	7	277	177	113	51	49	8	422
Kim M. Blakely Canada	10	203 0.7×	110 0.6×	112 1.0×	58 1.1×	104 2.1×	11	496
Meera Gurumurthy Singapore	11	277 1.0×	185 1.0×	134 1.2×	22 0.4×	27 0.6×	21	426
Kimberly M. Sogi United States	9	246 0.9×	297 1.7×	230 2.0×	25 0.5×	26 0.5×	10	623
Frédéric Frénois France	12	418 1.5×	224 1.3×	133 1.2×	55 1.1×	66 1.3×	23	658
Sanjay Khandekar United States	7	396 1.4×	59 0.3×	81 0.7×	66 1.3×	98 2.0×	11	683
Roberto Forestieri Canada	8	169 0.6×	77 0.4×	111 1.0×	45 0.9×	37 0.8×	8	370
Monalisa Chatterji India	13	364 1.3×	160 0.9×	141 1.2×	36 0.7×	36 0.7×	14	575
Isaac Zentner United States	14	229 0.8×	194 1.1×	51 0.5×	55 1.1×	63 1.3×	20	484
Leila S. Ross United States	12	260 0.9×	146 0.8×	110 1.0×	31 0.6×	56 1.1×	17	724
Peter C. Ray United Kingdom	12	256 0.9×	284 1.6×	179 1.6×	28 0.5×	27 0.6×	21	556

Countries citing papers authored by Melvin Au

Since Specialization

Citations

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

Fields of papers citing papers by Melvin Au

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Melvin Au

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

All Works

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8 of 8 papers shown

1.

Zheng, Jun, Eric J. Rubin, Pablo Bifani, et al.. (2013). para-Aminosalicylic Acid Is a Prodrug Targeting Dihydrofolate Reductase in Mycobacterium tuberculosis. Journal of Biological Chemistry. 288(32). 23447–23456. 144 indexed citations

2.

Zheng, Jun, Eric J. Rubin, Pablo Bifani, et al.. (2013). para-Aminosalicylic acid is a prodrug targeting dihydrofolate reductase in Mycobacterium tuberculosis.. Journal of Biological Chemistry. 288(40). 28951–28951. 7 indexed citations

3.

Schmitt, E., Vasan K. Sambandamurthy, Silvio Roggo, et al.. (2011). The Natural Product Cyclomarin Kills Mycobacterium Tuberculosis by Targeting the ClpC1 Subunit of the Caseinolytic Protease. Angewandte Chemie International Edition. 50(26). 5889–5891. 141 indexed citations

4.

Schmitt, E., Vasan K. Sambandamurthy, Silvio Roggo, et al.. (2011). The Natural Product Cyclomarin Kills Mycobacterium Tuberculosis by Targeting the ClpC1 Subunit of the Caseinolytic Protease. Angewandte Chemie. 123(26). 6011–6013. 15 indexed citations

5.

Gullo, Charles, et al.. (2008). Use of ultraviolet-light irradiated multiple myeloma cells as immunogens to generate tumor-specific cytolytic T lymphocytes. PubMed. 6(1). 2–2. 4 indexed citations

6.

Böhler, Thomas, Melvin Au, Klaus Müller, et al.. (2007). Evaluation of a Simplified Dual-Platform Flow Cytometric Method for Measurement of Lymphocyte Subsets and T-Cell Maturation Phenotypes in the Population of Nouna, Burkina Faso. Clinical and Vaccine Immunology. 14(6). 775–781. 8 indexed citations

7.

Gullo, Charles, Melvin Au, Feng Ge, & Gerrard Teoh. (2006). The biology of Ku and its potential oncogenic role in cancer. Biochimica et Biophysica Acta (BBA) - Reviews on Cancer. 1765(2). 223–234. 97 indexed citations

8.

Hwang, William Ying Khee, Charles Gullo, Jia Shen, et al.. (2006). Decoupling of normal CD40/interleukin-4 immunoglobulin heavy chain switch signal leads to genomic instability in SGH-MM5 and RPMI 8226 multiple myeloma cell lines. Leukemia. 20(4). 715–723. 6 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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