Ma’mon M. Hatmal

2.5k total citations · 1 hit paper
61 papers, 1.7k citations indexed

About

Ma’mon M. Hatmal is a scholar working on Molecular Biology, Infectious Diseases and Computational Theory and Mathematics. According to data from OpenAlex, Ma’mon M. Hatmal has authored 61 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Molecular Biology, 13 papers in Infectious Diseases and 10 papers in Computational Theory and Mathematics. Recurrent topics in Ma’mon M. Hatmal's work include Computational Drug Discovery Methods (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Vaccine Coverage and Hesitancy (6 papers). Ma’mon M. Hatmal is often cited by papers focused on Computational Drug Discovery Methods (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Vaccine Coverage and Hesitancy (6 papers). Ma’mon M. Hatmal collaborates with scholars based in Jordan, Malaysia and United States. Ma’mon M. Hatmal's co-authors include Walhan Alshaer, Mutasem O. Taha, Rohimah Mohamud, Mohammad A. I. Al-Hatamleh, Abdalla Awidi, Amin N. Olaimat, Hadil Zureigat, Alaa A. A. Aljabali, Lobna Gharaibeh and Abdulfattah Al-Kadash and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ma’mon M. Hatmal

60 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

siRNA: Mechanism of action, challenges, and therapeutic approaches

2021 296 citations Walhan Alshaer, Ma’mon M. Hatmal et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ma’mon M. Hatmal Jordan	22	729	364	161	158	146	61	1.7k
Suresh Kumar Malaysia	24	877 1.2×	542 1.5×	23 0.1×	93 0.6×	303 2.1×	90	1.9k
Cynthia Liu United States	16	1.0k 1.4×	1.4k 3.7×	85 0.5×	111 0.7×	149 1.0×	34	2.7k
Tanya Singh India	15	786 1.1×	103 0.3×	59 0.4×	44 0.3×	106 0.7×	51	1.3k
Justin R. Pritchard United States	18	1.1k 1.5×	285 0.8×	17 0.1×	208 1.3×	413 2.8×	54	2.0k
Meng Yuan United States	26	1.2k 1.7×	2.2k 6.2×	45 0.3×	152 1.0×	240 1.6×	72	3.4k
Maciej Błaszczyk Poland	14	509 0.7×	197 0.5×	190 1.2×	11 0.1×	66 0.5×	22	1.0k
Joseph A. Ippolito United States	28	2.0k 2.7×	488 1.3×	60 0.4×	25 0.2×	190 1.3×	76	3.3k
John P. Evans United States	19	737 1.0×	808 2.2×	42 0.3×	44 0.3×	246 1.7×	46	1.8k
Jie Sheng China	16	622 0.9×	1.4k 3.8×	28 0.2×	170 1.1×	105 0.7×	41	2.2k

Countries citing papers authored by Ma’mon M. Hatmal

Since Specialization

Citations

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

Fields of papers citing papers by Ma’mon M. Hatmal

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ma’mon M. Hatmal. 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 Ma’mon M. Hatmal. The network helps show where Ma’mon M. Hatmal may publish in the future.

Co-authorship network of co-authors of Ma’mon M. Hatmal

This figure shows the co-authorship network connecting the top 25 collaborators of Ma’mon M. Hatmal. A scholar is included among the top collaborators of Ma’mon M. Hatmal 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 Ma’mon M. Hatmal. Ma’mon M. Hatmal 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

Al-Hatamleh, Mohammad A. I., Walhan Alshaer, Ma’mon M. Hatmal, et al.. (2024). Synthesis, characterization, and wound healing activity of alginate-based polymeric nanoparticles loaded with stingless bee honey. Biocatalysis and Agricultural Biotechnology. 60. 103329–103329. 3 indexed citations

Olaimat, Amin N., Anas A. Al‐Nabulsi, Murad Al‐Holy, et al.. (2024). Common and Potential Emerging Foodborne Viruses: A Comprehensive Review. Life. 14(2). 190–190. 25 indexed citations

Hatmal, Ma’mon M., et al.. (2023). Computational workflow for discovering small molecular binders for shallow binding sites by integrating molecular dynamics simulation, pharmacophore modeling, and machine learning: STAT3 as case study. Journal of Computer-Aided Molecular Design. 37(12). 659–678. 1 indexed citations

Daoud, Safa, et al.. (2023). Augmenting bioactivity by docking‐generated multiple ligand poses to enhance machine learning and pharmacophore modelling: discovery of new TTK inhibitors as case study. Molecular Informatics. 42(6). e2300022–e2300022. 3 indexed citations

Alshaer, Walhan, et al.. (2023). Discovery of new STAT3 inhibitors as anticancer agents using ligand-receptor contact fingerprints and docking-augmented machine learning. RSC Advances. 13(7). 4623–4640. 7 indexed citations

Aolymat, Iman, Ma’mon M. Hatmal, & Amin N. Olaimat. (2023). The Emerging Role of Heat Shock Factor 1 (HSF1) and Heat Shock Proteins (HSPs) in Ferroptosis. Pathophysiology. 30(1). 63–82. 19 indexed citations

Lafi, Zainab, et al.. (2023). Echinomycin: A Journey of Challenges. Jordan Journal of Pharmaceutical Sciences. 16(3). 640–654. 8 indexed citations

Azab, Belal, et al.. (2022). Potential Composite Digenic Contribution of NPC1 and NOD2 Leading to Atypical Lethal Niemann-Pick Type C with Initial Crohn’s Disease-like Presentation: Genotype-Phenotype Correlation Study. Genes. 13(6). 973–973. 4 indexed citations

Ibrahim, Wisam Nabeel, et al.. (2022). COVID-19 Vaccine Acceptance among Vulnerable Groups: Syrian Refugees in Jordan. Vaccines. 10(10). 1634–1634. 18 indexed citations

10.

Hatmal, Ma’mon M., Mohammad A. I. Al-Hatamleh, Amin N. Olaimat, et al.. (2022). Reported Adverse Effects and Attitudes among Arab Populations Following COVID-19 Vaccination: A Large-Scale Multinational Study Implementing Machine Learning Tools in Predicting Post-Vaccination Adverse Effects Based on Predisposing Factors. Vaccines. 10(3). 366–366. 43 indexed citations

11.

Hatmal, Ma’mon M., Mohammad A. I. Al-Hatamleh, Amin N. Olaimat, et al.. (2022). Immunomodulatory Properties of Human Breast Milk: MicroRNA Contents and Potential Epigenetic Effects. Biomedicines. 10(6). 1219–1219. 43 indexed citations

12.

Olaimat, Amin N., Tareq M. Osaili, Hayder Hasan, et al.. (2022). Public knowledge and attitude towards COVID-19 vaccines, implementation of preventive measures following vaccination, and perceived stress during the COVID-19 pandemic: A cross-sectional study in Jordan. Electronic Journal of General Medicine. 19(6). em421–em421. 2 indexed citations

13.

Hatmal, Ma’mon M., et al.. (2022). Vitamin B12 binding to mutated human transcobalamin, in-silico study of TCN2 alanine scanning and ClinVar missense mutations/SNPs. Journal of Biomolecular Structure and Dynamics. 41(8). 3222–3233. 1 indexed citations

14.

Daoud, Safa, et al.. (2022). Discovery of new Cdc2-like kinase 4 (CLK4) inhibitors via pharmacophore exploration combined with flexible docking-based ligand/receptor contact fingerprints and machine learning. RSC Advances. 12(17). 10686–10700. 12 indexed citations

15.

Hatmal, Ma’mon M., et al.. (2022). Exploiting activity cliffs for building pharmacophore models and comparison with other pharmacophore generation methods: sphingosine kinase 1 as case study. Journal of Computer-Aided Molecular Design. 36(1). 39–62. 10 indexed citations

16.

Hatmal, Ma’mon M., et al.. (2021). Side Effects and Perceptions Following COVID-19 Vaccination in Jordan: A Randomized, Cross-Sectional Study Implementing Machine Learning for Predicting Severity of Side Effects. Vaccines. 9(6). 556–556. 144 indexed citations

17.

Alshaer, Walhan, Dana A. Alqudah, Duaa Abuarqoub, et al.. (2019). Downregulation of STAT3, β-Catenin, and Notch-1 by Single and Combinations of siRNA Treatment Enhance Chemosensitivity of Wild Type and Doxorubicin Resistant MCF7 Breast Cancer Cells to Doxorubicin. International Journal of Molecular Sciences. 20(15). 3696–3696. 29 indexed citations

18.

Hatmal, Ma’mon M. & Mutasem O. Taha. (2018). Combining Stochastic Deformation/Relaxation and Intermolecular Contacts Analysis for Extracting Pharmacophores from Ligand–Receptor Complexes. Journal of Chemical Information and Modeling. 58(4). 879–893. 13 indexed citations

19.

Beasley, Kathleen N., et al.. (2015). Computer Modeling of Spin Labels. Methods in enzymology on CD-ROM/Methods in enzymology. 563. 569–593. 17 indexed citations

20.

Al‐Zboon, Eman & Ma’mon M. Hatmal. (2015). Attitudes of dentists toward persons with intellectual disabilities in Jordanian hospitals. Special Care in Dentistry. 36(1). 25–31. 10 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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