Shamim Mollah

676 total citations
15 papers, 435 citations indexed

About

Shamim Mollah is a scholar working on Molecular Biology, Artificial Intelligence and Immunology. According to data from OpenAlex, Shamim Mollah has authored 15 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 4 papers in Artificial Intelligence and 4 papers in Immunology. Recurrent topics in Shamim Mollah's work include Biomedical Text Mining and Ontologies (5 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Shamim Mollah is often cited by papers focused on Biomedical Text Mining and Ontologies (5 papers), Immune Cell Function and Interaction (3 papers) and Immunotherapy and Immune Responses (3 papers). Shamim Mollah collaborates with scholars based in United States, Canada and Switzerland. Shamim Mollah's co-authors include Andreas C. Mauer, Barry S. Coller, Mackenzie Bowman, Angie Tuttle, Paula James, Steven S. Bae, Pamela A. Christopherson, Margaret L. Rand, Dewi Clark and Wilma M. Hopman and has published in prestigious journals such as The Journal of Experimental Medicine, Blood and Journal of Virology.

In The Last Decade

Shamim Mollah

15 papers receiving 422 citations

Peers

Countries citing papers authored by Shamim Mollah

Since Specialization

Citations

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

Fields of papers citing papers by Shamim Mollah

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shamim Mollah

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

All Works

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15 of 15 papers shown

#	Work	Indexed citations
1	Chronic Oxaliplatin Treatment Induces CIPN in Mice via Activation of the TXNIP Pathway 2025 ·Molecular Neurobiology ·(unknown), (unknown), (unknown), Haiying Zhou, Carla M. Yuede, Lara W. Crock, Daniel A. Hunter, Judith P. Golden, Shamim Mollah, (unknown), Mikhail Y. Berezin	3
2	Heparanase Blockade as a Novel Dual-Targeting Therapy for COVID-19 2022 ·Journal of Virology ·Jingyu Xiang, Mijia Lu, (unknown), Xiaogang Cheng, Kristin A. Kwakwa, Jennifer L. Davis, Xinming Su, Suzanne J. Bakewell, Yuexiu Zhang, Francesca Fontana, Yalin Xu, Deborah J. Veis, John F. DiPersio, Lee Ratner, Ralph D. Sanderson, Alessandro Noseda, Shamim Mollah, Jiànróng Lǐ, Katherine N. Weilbaecher	21
3	Increasing metadata coverage of SRA BioSample entries using deep learning–based named entity recognition 2021 ·Database ·(unknown), Brian Tsui, Shamim Mollah, Dylan Skola, Michelle T. Dow, Chun-Nan Hsu, Hannah Carter	12
4	Machine learning–based scoring models to predict hematopoietic stem cell mobilization in allogeneic donors 2021 ·Blood Advances ·Jingyu Xiang, (unknown), Mark A. Fiala, Feng Gao, Michael P. Rettig, Geoffrey L. Uy, Mark A. Schroeder, Katherine N. Weilbaecher, Keith Stockerl‐Goldstein, Shamim Mollah, John F. DiPersio	15
5	Histone Signatures Predict Therapeutic Efficacy in Breast Cancer 2020 ·IEEE Open Journal of Engineering in Medicine and Biology ·Shamim Mollah, Shankar Subramaniam	2
6	Correction to: “Flt3L Dependence Helps Define an Uncharacterized Subset of Murine Cutaneous Dendritic Cells” 2014 ·Journal of Investigative Dermatology ·Shamim Mollah, (unknown), (unknown), (unknown), Ines Matos, Cheolho Cheong, Ralph M. Steinman, Niroshana Anandasabapathy	1
7	Normal range of bleeding scores for the ISTH‐BAT: adult and pediatric data from the merging project 2014 ·Haemophilia ·Malak Elbatarny, Shamim Mollah, Julie Grabell, Steven S. Bae, M. Deforest, Angie Tuttle, Wilma M. Hopman, Dewi Clark, Andreas C. Mauer, Mackenzie Bowman, James Riddel, Pamela A. Christopherson, Robert R. Montgomery, (unknown), Margaret L. Rand, Barry S. Coller, Paula James	218
8	Classical Flt3L-dependent dendritic cells control immunity to protein vaccine 2014 ·The Journal of Experimental Medicine ·Niroshana Anandasabapathy, (unknown), Shamim Mollah, Sze‐Wah Tse, M. Paula Longhi, Saurabh Mehandru, Ines Matos, Cheolho Cheong, Darren Ruane, Lucas Brane, (unknown), (unknown), Olga Mizenina, Chae Gyu Park, Matthew M. Meredith, Björn E. Clausen, Michel C. Nussenzweig, Ralph M. Steinman	79
9	Flt3L Dependence Helps Define an Uncharacterized Subset of Murine Cutaneous Dendritic Cells 2013 ·Journal of Investigative Dermatology ·Shamim Mollah, (unknown), (unknown), Sze‐Wah Tse, Ines Matos, Cheolho Cheong, Ralph M. Steinman, Niroshana Anandasabapathy	27
10	Normal Range Of Bleeding Scores For The ISTH-BAT: Adult and Pediatric Data From The Merging Project 2013 ·Blood ·Malak Elbatarny, Shamim Mollah, Julie Grabell, Margaret L. Rand, Dewi Clark, Andreas C. Mauer, Pamela A. Christopherson, Robert R. Montgomery, (unknown), Barry S. Coller, Paula D. James	2
11	Ontology-based federated data access to human studies information. 2012 ·PubMed ·Ida Sim, Simona Carini, Samson W. Tu, Landon T Detwiler, James F. Brinkley, Shamim Mollah, (unknown), Harold P. Lehmann, (unknown), Knut M. Wittkowski, Brad H. Pollock, Thomas M. Johnson, Vojtech Huser, (unknown)	6
12	The human studies database project: federating human studies design data using the ontology of clinical research. 2010 ·PubMed ·Ida Sim, Simona Carini, Samson W. Tu, (unknown), Brad H. Pollock, Shamim Mollah, Davera Gabriel, Herbert K. Hagler, Richard H. Scheuermann, Harold P. Lehmann, Knut M. Wittkowski, Meredith Nahm, Suzanne Bakken	28
13	Creating an Ontology‐Based Human Phenotyping System: The Rockefeller University Bleeding History Experience 2009 ·Clinical and Translational Science ·Andreas C. Mauer, (unknown), Nickolay A. Khazanov, Natasha Levenkova, Shamim Mollah, Barry S. Coller	7
14	Development and evaluation of a study design typology for human research. 2009 ·PubMed ·Simona Carini, Brad H. Pollock, Harold P. Lehmann, Suzanne Bakken, (unknown), Davera Gabriel, Herbert K. Hagler, Caryn R. Harper, Shamim Mollah, Meredith Nahm, (unknown), Richard H. Scheuermann, Ida Sim	12
15	Automatic learning of the morphology of medical language using information compression. 2003 ·PubMed ·Shamim Mollah, Stephen B. Johnson	2

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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