Robert H. Mach

18.0k total citations · 2 hit papers
380 papers, 14.0k citations indexed

About

Robert H. Mach is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Oncology. According to data from OpenAlex, Robert H. Mach has authored 380 papers receiving a total of 14.0k indexed citations (citations by other indexed papers that have themselves been cited), including 210 papers in Molecular Biology, 130 papers in Cellular and Molecular Neuroscience and 56 papers in Oncology. Recurrent topics in Robert H. Mach's work include Receptor Mechanisms and Signaling (115 papers), Pharmacological Receptor Mechanisms and Effects (107 papers) and Neuropeptides and Animal Physiology (49 papers). Robert H. Mach is often cited by papers focused on Receptor Mechanisms and Signaling (115 papers), Pharmacological Receptor Mechanisms and Effects (107 papers) and Neuropeptides and Animal Physiology (49 papers). Robert H. Mach collaborates with scholars based in United States, Germany and Sweden. Robert H. Mach's co-authors include Jinbin Xu, Mark A. Mintun, Zhude Tu, Chenbo Zeng, John C. Morris, Michael A. Nader, Robert R. Luedtke, Gerd Müller, Carmen S. Dence and Wenhua Chu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Circulation.

In The Last Decade

Robert H. Mach

368 papers receiving 13.7k citations

Hit Papers

Inverse relation between in vivo amyloid imaging load and... 2005 2026 2012 2019 2005 2006 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Robert H. Mach United States 57 6.6k 3.8k 2.5k 1.7k 1.7k 380 14.0k
Hank F. Kung United States 60 3.7k 0.6× 4.0k 1.1× 3.2k 1.3× 2.0k 1.1× 3.4k 2.0× 290 13.1k
Rafael Franco Spain 83 11.8k 1.8× 9.7k 2.6× 1.9k 0.8× 833 0.5× 642 0.4× 479 22.9k
Hiroshi Abe Japan 64 6.4k 1.0× 1.8k 0.5× 892 0.4× 1.3k 0.7× 816 0.5× 646 17.5k
Victor W. Pike United States 66 4.6k 0.7× 4.4k 1.2× 1.7k 0.7× 1.3k 0.8× 4.7k 2.8× 433 15.4k
Jorge R. Barrio United States 63 4.4k 0.7× 1.5k 0.4× 3.6k 1.5× 1.9k 1.1× 3.8k 2.3× 258 13.9k
Alan Davison United Kingdom 62 3.9k 0.6× 2.4k 0.6× 2.6k 1.1× 535 0.3× 2.6k 1.5× 359 14.7k
James R. Connor United States 86 5.7k 0.9× 2.1k 0.6× 3.3k 1.3× 1.1k 0.6× 1.5k 0.9× 386 24.5k
Jonathan A. Javitch United States 90 16.9k 2.6× 15.0k 3.9× 1.0k 0.4× 919 0.5× 1.4k 0.8× 272 24.7k
Alan A. Wilson Canada 75 4.4k 0.7× 8.3k 2.2× 1.6k 0.6× 3.8k 2.2× 3.1k 1.9× 328 19.0k
Balázs Gulyás Sweden 54 3.4k 0.5× 2.2k 0.6× 1.7k 0.7× 850 0.5× 1.4k 0.9× 310 11.4k

Countries citing papers authored by Robert H. Mach

Since Specialization
Citations

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

Fields of papers citing papers by Robert H. Mach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert H. Mach

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

All Works

20 of 20 papers shown
3.
Infantino, Vittoria, Anna Santarsiero, Robert H. Mach, et al.. (2023). Sigma-2 Receptor Ligand Binding Modulates Association between TSPO and TMEM97. International Journal of Molecular Sciences. 24(7). 6381–6381. 8 indexed citations
4.
Lee, Hsiaoju, Sally W. Schwarz, Erin K. Schubert, et al.. (2022). The Development of 18F Fluorthanatrace: A PET Radiotracer for Imaging Poly (ADP-Ribose) Polymerase-1. Radiology Imaging Cancer. 4(1). e210070–e210070. 14 indexed citations
5.
Weng, Chi-Chang, Aladdin Riad, Brian P. Lieberman, et al.. (2022). Characterization of Sigma-2 Receptor—Specific Binding Sites Using [3H]DTG and [125I]RHM-4. Pharmaceuticals. 15(12). 1564–1564. 6 indexed citations
6.
Doot, Robert K., Ilya M. Nasrallah, Reagan R. Wetherill, et al.. (2022). [18F]NOS PET Brain Imaging Suggests Elevated Neuroinflammation in Idiopathic Parkinson’s Disease. Cells. 11(19). 3081–3081. 7 indexed citations
7.
Hsieh, Chia‐Ju, Aladdin Riad, Ji Youn Lee, et al.. (2021). Interaction of Ligands for PET with the Dopamine D3 Receptor: In Silico and In Vitro Methods. Biomolecules. 11(4). 529–529. 6 indexed citations
8.
Izzo, Nicholas J., Martí Colom‐Cadena, Aladdin Riad, et al.. (2020). Proceedings from the Fourth International Symposium on σ-2 Receptors: Role in Health and Disease. eNeuro. 7(6). ENEURO.0317–20.2020. 24 indexed citations
9.
Zeng, Chenbo, Aladdin Riad, & Robert H. Mach. (2020). The Biological Function of Sigma-2 Receptor/TMEM97 and Its Utility in PET Imaging Studies in Cancer. Cancers. 12(7). 1877–1877. 39 indexed citations
10.
Makvandi, Mehran, Hwan Lee, Laura N. Puentes, et al.. (2019). Targeting PARP-1 with Alpha-Particles Is Potently Cytotoxic to Human Neuroblastoma in Preclinical Models. Molecular Cancer Therapeutics. 18(7). 1195–1204. 39 indexed citations
11.
Elmi, Azadeh, Mehran Makvandi, Chi-Chang Weng, et al.. (2019). Cell-Proliferation Imaging for Monitoring Response to CDK4/6 Inhibition Combined with Endocrine-Therapy in Breast Cancer: Comparison of [18F]FLT and [18F]ISO-1 PET/CT. Clinical Cancer Research. 25(10). 3063–3073. 25 indexed citations
12.
Hsieh, Chia‐Ju, Kuiying Xu, Thomas J. A. Graham, et al.. (2018). Chalcones and Five-Membered Heterocyclic Isosteres Bind to Alpha Synuclein Fibrils in Vitro. ACS Omega. 3(4). 4486–4493. 34 indexed citations
13.
Doot, Robert K., et al.. (2018). Selectivity of probes for PET imaging of dopamine D3 receptors. Neuroscience Letters. 691. 18–25. 19 indexed citations
14.
Zhou, Rong, Austin R. Pantel, Shihong Li, et al.. (2017). [18F](2 S ,4 R )4-Fluoroglutamine PET Detects Glutamine Pool Size Changes in Triple-Negative Breast Cancer in Response to Glutaminase Inhibition. Cancer Research. 77(6). 1476–1484. 81 indexed citations
15.
Sellmyer, Mark A., Catherine Hou, Chi-Chang Weng, et al.. (2017). Bacterial infection imaging with [ 18 F]fluoropropyl-trimethoprim. Proceedings of the National Academy of Sciences. 114(31). 8372–8377. 103 indexed citations
16.
Makvandi, Mehran, Kuiying Xu, Brian P. Lieberman, et al.. (2016). A Radiotracer Strategy to Quantify PARP-1 Expression In Vivo Provides a Biomarker That Can Enable Patient Selection for PARP Inhibitor Therapy. Cancer Research. 76(15). 4516–4524. 80 indexed citations
18.
Yang, Chang, Jennifer L. Davis, Rong Zeng, et al.. (2012). Antagonism of Inhibitor of Apoptosis Proteins Increases Bone Metastasis via Unexpected Osteoclast Activation. Cancer Discovery. 3(2). 212–223. 34 indexed citations
19.
Spitzer, Dirk, Peter O. Simon, Hiroyuki Kashiwagi, et al.. (2011). Use of Multifunctional Sigma-2 Receptor Ligand Conjugates to Trigger Cancer-Selective Cell Death Signaling. Cancer Research. 72(1). 201–209. 43 indexed citations
20.
Huang, Yun‐Sheng, et al.. (2001). Synthesis of 2-(2,3-dimethoxyphenyl)-4-(aminomethyl)imidazole analogues and their binding affinities for dopamine D2 and D3 receptors. Bioorganic & Medicinal Chemistry. 9(12). 3113–3122. 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.

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