Minh H. Tran

514 total citations
8 papers, 357 citations indexed

About

Minh H. Tran is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Physiology. According to data from OpenAlex, Minh H. Tran has authored 8 papers receiving a total of 357 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 2 papers in Radiology, Nuclear Medicine and Imaging and 2 papers in Physiology. Recurrent topics in Minh H. Tran's work include Monoclonal and Polyclonal Antibodies Research (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Protein purification and stability (2 papers). Minh H. Tran is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (2 papers), Mass Spectrometry Techniques and Applications (2 papers) and Protein purification and stability (2 papers). Minh H. Tran collaborates with scholars based in United States, Germany and United Kingdom. Minh H. Tran's co-authors include Zhi Quan Xiang, Hildegund C.J. Ertl, Steven L. Spitalnik, Jun Cheng, William H. Wunner, Michael B. Jordan, Vandana Chaturvedi, Jens Meiler, Kevin L. Schey and Clara T. Schoeder and has published in prestigious journals such as Blood, Biochemical and Biophysical Research Communications and Frontiers in Immunology.

In The Last Decade

Minh H. Tran

5 papers receiving 342 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Minh H. Tran United States	3	168	131	104	101	93	8	357
Eyal Raz United States	5	311 1.9×	113 0.9×	120 1.2×	36 0.4×	73 0.8×	6	489
Mark L. Bagarazzi United States	4	296 1.8×	134 1.0×	174 1.7×	209 2.1×	90 1.0×	6	456
Seleeke Flingai United States	9	146 0.9×	78 0.6×	134 1.3×	47 0.5×	142 1.5×	13	385
Christina Barnfield Sweden	8	195 1.2×	159 1.2×	131 1.3×	82 0.8×	102 1.1×	11	423
Sailaja Gangadhara United States	14	366 2.2×	202 1.5×	141 1.4×	341 3.4×	113 1.2×	25	601
Catherine A. Siler United States	8	86 0.5×	178 1.4×	66 0.6×	232 2.3×	183 2.0×	9	404
Michael Merva United States	9	305 1.8×	136 1.0×	199 1.9×	181 1.8×	100 1.1×	10	473
Livia Berlinger Switzerland	7	163 1.0×	92 0.7×	76 0.7×	282 2.8×	151 1.6×	11	403
Shakuntala Megati United States	11	331 2.0×	197 1.5×	150 1.4×	191 1.9×	172 1.8×	11	582
Marie Rojas France	8	251 1.5×	97 0.7×	158 1.5×	119 1.2×	86 0.9×	8	432

Countries citing papers authored by Minh H. Tran

Since Specialization

Citations

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

Fields of papers citing papers by Minh H. Tran

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Minh H. Tran. 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 Minh H. Tran. The network helps show where Minh H. Tran may publish in the future.

Co-authorship network of co-authors of Minh H. Tran

This figure shows the co-authorship network connecting the top 25 collaborators of Minh H. Tran. A scholar is included among the top collaborators of Minh H. Tran 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 Minh H. Tran. Minh H. Tran 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.

Tran, Minh H., et al.. (2025). RosettaHDX: Predicting antibody-antigen interaction from hydrogen-deuterium exchange mass spectrometry data. Journal of Structural Biology. 217(1). 108166–108166. 2 indexed citations

2.

Tran, Minh H., et al.. (2025). Macula densa nitric oxide synthase 1β restoration by kidney alkalization enhances renal graft outcomes. American Journal of Physiology-Renal Physiology. 329(3). F347–F361.

3.

Tran, Minh H., et al.. (2024). The role of PPP1R3G in promoting necroptosis in ischemia reperfusion induced acute kidney injury. Physiology. 39(S1).

4.

Tran, Minh H., et al.. (2024). Acid Treatment Challenges and Solutions in Sandstone Formation with Various Formation Damages.

5.

Tran, Minh H., et al.. (2024). Aquaporin-0-protein interactions elucidated by crosslinking mass spectrometry. Biochemical and Biophysical Research Communications. 727. 150320–150320. 1 indexed citations

6.

Tran, Minh H., Clara T. Schoeder, Kevin L. Schey, & Jens Meiler. (2022). Computational Structure Prediction for Antibody-Antigen Complexes From Hydrogen-Deuterium Exchange Mass Spectrometry: Challenges and Outlook. Frontiers in Immunology. 13. 859964–859964. 13 indexed citations

7.

Chaturvedi, Vandana, et al.. (2021). JAK inhibition for murine HLH requires complete blockade of IFN-γ signaling and is limited by toxicity of JAK2 inhibition. Blood. 138(12). 1034–1039. 19 indexed citations

8.

Xiang, Zhi Quan, Steven L. Spitalnik, Minh H. Tran, et al.. (1994). Vaccination with a Plasmid Vector Carrying the Rabies Virus Glycoprotein Gene Induces Protective Immunity against Rabies Virus. Virology. 199(1). 132–140. 322 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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