Mark M. Goodman

9.5k total citations
234 papers, 7.6k citations indexed

About

Mark M. Goodman is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Mark M. Goodman has authored 234 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Radiology, Nuclear Medicine and Imaging, 60 papers in Molecular Biology and 58 papers in Cellular and Molecular Neuroscience. Recurrent topics in Mark M. Goodman's work include Medical Imaging Techniques and Applications (56 papers), Neuroscience and Neuropharmacology Research (46 papers) and Neurotransmitter Receptor Influence on Behavior (42 papers). Mark M. Goodman is often cited by papers focused on Medical Imaging Techniques and Applications (56 papers), Neuroscience and Neuropharmacology Research (46 papers) and Neurotransmitter Receptor Influence on Behavior (42 papers). Mark M. Goodman collaborates with scholars based in United States, Japan and France. Mark M. Goodman's co-authors include John R. Votaw, David M. Schuster, Ronald J. Voll, Jonathon A. Nye, Jonathan McConathy, Weiping Yu, Peter T. Nieh, Aaron L. Smith, Sara M. Freeman and Leonard L. Howell and has published in prestigious journals such as Science, The Lancet and Journal of the American Chemical Society.

In The Last Decade

Mark M. Goodman

230 papers receiving 7.4k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mark M. Goodman United States	50	2.4k	1.8k	1.6k	1.1k	886	234	7.6k
Hank F. Kung United States	60	3.4k 1.4×	3.7k 2.1×	594 0.4×	4.0k 3.6×	471 0.5×	290	13.1k
Martin Schäfer Germany	51	3.4k 1.4×	2.3k 1.3×	3.1k 1.9×	1.9k 1.7×	167 0.2×	201	10.0k
William C. Eckelman United States	46	3.4k 1.4×	1.9k 1.1×	1.4k 0.8×	1.5k 1.3×	214 0.2×	212	7.2k
Guy Bormans Belgium	61	4.3k 1.8×	2.5k 1.4×	2.0k 1.2×	1.9k 1.7×	122 0.1×	395	12.6k
John R. Votaw United States	40	1.8k 0.7×	896 0.5×	497 0.3×	1.4k 1.3×	201 0.2×	158	6.2k
Kiichi Ishiwata Japan	44	3.2k 1.3×	3.1k 1.8×	1.2k 0.7×	1.9k 1.7×	414 0.5×	395	9.5k
Mats Bergström Sweden	55	3.3k 1.4×	1.4k 0.8×	785 0.5×	1.1k 1.0×	256 0.3×	271	8.9k
Albert D. Windhorst Netherlands	53	2.9k 1.2×	2.1k 1.2×	987 0.6×	970 0.9×	207 0.2×	324	9.4k
Wolfgang Wadsak Austria	44	2.0k 0.8×	908 0.5×	791 0.5×	891 0.8×	128 0.1×	264	5.9k
Rudi Dierckx Netherlands	49	2.9k 1.2×	2.1k 1.2×	1.1k 0.7×	1.0k 0.9×	94 0.1×	393	9.7k

Countries citing papers authored by Mark M. Goodman

Since Specialization

Citations

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

Fields of papers citing papers by Mark M. Goodman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark M. Goodman. 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 Mark M. Goodman. The network helps show where Mark M. Goodman may publish in the future.

Co-authorship network of co-authors of Mark M. Goodman

This figure shows the co-authorship network connecting the top 25 collaborators of Mark M. Goodman. A scholar is included among the top collaborators of Mark M. Goodman 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 Mark M. Goodman. Mark M. Goodman 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

Takemiya, Kiyoko, Ronald J. Voll, Sheng Zhao, et al.. (2025). Synthesis, radiolabeling, and biological evaluation of methyl 6-deoxy-6-[¹⁸F]fluoro-4-thio-α-d-maltotrioside as a positron emission tomography bacterial imaging agent. RSC Advances. 15(11). 8809–8829. 1 indexed citations

Takemiya, Kiyoko, et al.. (2024). Isothermal titration calorimetry analysis of the binding between the maltodextrin binding protein malE of Staphylococcus aureus with maltodextrins of various lengths. Biochemical and Biophysical Research Communications. 695. 149467–149467. 1 indexed citations

Lawal, Ismaheel O., Charles Marcus, David M. Schuster, et al.. (2023). Impact of 18F-Fluciclovine PET/CT Findings on Failure-Free Survival in Biochemical Recurrence of Prostate Cancer Following Salvage Radiation Therapy. Clinical Nuclear Medicine. 48(4). e153–e159. 6 indexed citations

Duke, Angela N., Susan H. Nader, Adrienne L. Adler-Neal, et al.. (2023). PET imaging of dopamine transporters and D2/D3 receptors in female monkeys: effects of chronic cocaine self-administration. Neuropsychopharmacology. 48(10). 1436–1445. 10 indexed citations

Pickel, Thomas C., Ronald J. Voll, Weiping Yu, et al.. (2021). Synthesis, Radiolabeling, and Biological Evaluation of the trans-Stereoisomers of 1-Amino-3-(fluoro-¹⁸F)-4-fluorocyclopentane-1-carboxylic Acid as PET Imaging Agents. ACS Pharmacology & Translational Science. 4(3). 1195–1203. 5 indexed citations

Akintayo, Akinyemi A., Collin J. Weber, Jyotirmay Sharma, et al.. (2019). Feasibility of Hyperfunctioning Parathyroid Gland Localization Using [18F]fluciclovine PET/CT. Molecular Imaging and Biology. 21(5). 818–824. 1 indexed citations

Takemiya, Kiyoko, Xinghai Ning, Xiaojian Wang, et al.. (2018). Novel PET and Near Infrared Imaging Probes for the Specific Detection of Bacterial Infections Associated With Cardiac Devices. JACC. Cardiovascular imaging. 12(5). 875–886. 30 indexed citations

Oka, Shuntaro, et al.. (2017). Fasting Enhances the Contrast of Bone Metastatic Lesions in 18F-Fluciclovine-PET: Preclinical Study Using a Rat Model of Mixed Osteolytic/Osteoblastic Bone Metastases. International Journal of Molecular Sciences. 18(5). 934–934. 12 indexed citations

Tade, Funmilayo, Michael A. Cohen, Toncred M. Styblo, et al.. (2016). Anti-3-¹⁸F-FACBC (¹⁸F-Fluciclovine) PET/CT of Breast Cancer: An Exploratory Study. Journal of Nuclear Medicine. 57(9). 1357–1363. 57 indexed citations

10.

Freeman, Sara M., Aaron L. Smith, Mark M. Goodman, & Karen L. Bales. (2016). Selective localization of oxytocin receptors and vasopressin 1a receptors in the human brainstem. Social Neuroscience. 12(2). 113–123. 42 indexed citations

11.

Stehouwer, Jeffrey S., Chase H. Bourke, Michael J. Owens, et al.. (2015). Synthesis, binding affinity, radiolabeling, and microPET evaluation of 4-(2-substituted-4-substituted)-8-(dialkylamino)-6-methyl-1-substituted-3,4-dihydropyrido[2,3-b]pyrazin-2(1H)-ones as ligands for brain corticotropin-releasing factor type-1 (CRF1) receptors. Bioorganic & Medicinal Chemistry Letters. 25(22). 5111–5114. 5 indexed citations

12.

Yin, Shaoman, Štefan Kaluz, Narra S. Devi, et al.. (2012). Arylsulfonamide KCN1 Inhibits In Vivo Glioma Growth and Interferes with HIF Signaling by Disrupting HIF-1α Interaction with Cofactors p300/CBP. Clinical Cancer Research. 18(24). 6623–6633. 71 indexed citations

13.

Dunlop, Boadie W., Elisabeth B. Binder, Joseph F. Cubells, et al.. (2012). Predictors of remission in depression to individual and combined treatments (PReDICT): study protocol for a randomized controlled trial. Trials. 13(1). 106–106. 88 indexed citations

14.

Yoon, Younghyoun, Zhongxing Liang, Xin Zhang, et al.. (2007). CXC Chemokine Receptor-4 Antagonist Blocks Both Growth of Primary Tumor and Metastasis of Head and Neck Cancer in Xenograft Mouse Models. Cancer Research. 67(15). 7518–7524. 100 indexed citations

15.

Zeng, Fanxing, Ronald J. Voll, John R. Votaw, et al.. (2006). Synthesis and evaluation of two 18F-labeled imidazo[1,2-a]pyridine analogues as potential agents for imaging β-amyloid in Alzheimer’s disease. Bioorganic & Medicinal Chemistry Letters. 16(11). 3015–3018. 42 indexed citations

16.

Zeng, Fanxing, Nachwa Jarkas, Michael J. Owens, et al.. (2006). Synthesis and monoamine transporter affinity of front bridged tricyclic 3β-(4′-halo or 4′-methyl)phenyltropanes bearing methylene or carbomethoxymethylene on the bridge to the 2β-position. Bioorganic & Medicinal Chemistry Letters. 16(17). 4661–4663. 4 indexed citations

17.

Lindsey, Kimberly P., Kristin M. Wilcox, John R. Votaw, et al.. (2004). Effects of Dopamine Transporter Inhibitors on Cocaine Self-Administration in Rhesus Monkeys: Relationship to Transporter Occupancy Determined by Positron Emission Tomography Neuroimaging. Journal of Pharmacology and Experimental Therapeutics. 309(3). 959–969. 54 indexed citations

18.

Martarello, Laurent, Clinton D. Kilts, Timothy D. Ely, et al.. (1999). Design, synthesis and characterization of fluorinated- and iodinated- pyrrolo[2,3-d]pyrimidines as candidates for CRF1 receptor PET/SPECT ligands. Journal of Labelled Compounds and Radiopharmaceuticals. 42. 2 indexed citations

19.

Kung, Mei‐Ping, William D. Essman, Dana Frederick, et al.. (1995). IPT: A novel iodinated ligand for the CNS dopamine transporter. Synapse. 20(4). 316–324. 65 indexed citations

20.

Goodman, Mark M., et al.. (1989). Effect of 3-methyl-branching on the myocardial retention of radioiodinated 19-iodo-18-nonadecenoic acid analogues. International Journal of Radiation Applications and Instrumentation Part B Nuclear Medicine and Biology. 16(8). 813–819. 7 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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