Steven Lim

458 total citations
9 papers, 110 citations indexed

About

Steven Lim is a scholar working on Immunology, Pulmonary and Respiratory Medicine and Physiology. According to data from OpenAlex, Steven Lim has authored 9 papers receiving a total of 110 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Immunology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Physiology. Recurrent topics in Steven Lim's work include Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Asthma and respiratory diseases (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). Steven Lim is often cited by papers focused on Neutrophil, Myeloperoxidase and Oxidative Mechanisms (3 papers), Asthma and respiratory diseases (3 papers) and Chronic Obstructive Pulmonary Disease (COPD) Research (2 papers). Steven Lim collaborates with scholars based in Australia, United States and United Kingdom. Steven Lim's co-authors include Paul T. King, Philip G. Bardin, Stephen R. Holdsworth, Peter Sjö, Laurent Fraisse, Isabela Ribeiro, Gathsaurie Neelika Malavige, Kavita Singh, Charles E. Mowbray and Graham S. Ogg and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Scientific Reports.

In The Last Decade

Steven Lim

8 papers receiving 108 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Steven Lim Australia	4	35	33	32	20	15	9	110
María Nieto Spain	5	27 0.8×	29 0.9×	8 0.3×	10 0.5×	23 1.5×	13	166
Sarah Prentice United Kingdom	6	14 0.4×	50 1.5×	20 0.6×	21 1.1×	3 0.2×	7	142
Sara Pereira da Silva Brazil	4	14 0.4×	37 1.1×	22 0.7×	19 0.9×		5	102
Mark Pulletz United Kingdom	3	22 0.6×	77 2.3×	7 0.2×	10 0.5×	7 0.5×	3	115
Dalia Bashir United States	6	6 0.2×	13 0.4×	18 0.6×	17 0.8×	2 0.1×	10	71
Elin Folkesson Sweden	6	6 0.2×	44 1.3×	11 0.3×	68 3.4×	21 1.4×	8	116
Habib Soheili Iran	7	34 1.0×	67 2.0×	5 0.2×	9 0.5×	6 0.4×	9	113
Rashmi Kumar United Kingdom	3	11 0.3×	10 0.3×	13 0.4×	6 0.3×	2 0.1×	6	74
Diana Ortiz Venezuela	8	12 0.3×	41 1.2×	15 0.5×	8 0.4×	1 0.1×	16	133
Ayşen Bingöl Türkiye	6	23 0.7×	15 0.5×	3 0.1×	11 0.6×	4 0.3×	31	111

Countries citing papers authored by Steven Lim

Since Specialization

Citations

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

Fields of papers citing papers by Steven Lim

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Steven Lim

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

All Works

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9 of 9 papers shown

Eggenhuizen, Peter J., Boaz H. Ng, Cecilia Lo, et al.. (2025). Engineered antigen-specific T regulatory cells suppress autoreactivity to the anti–glomerular basement membrane disease antigen. Kidney International. 107(4). 751–756. 2 indexed citations

Biswas, Partha Pratim, Wei‐Hsin Chen, Su Shiung Lam, Steven Lim, & Jo‐Shu Chang. (2024). Comparative analysis of selected plastic pyrolysis and catalytic versus non-catalytic pyrolysis of polyethylene using artificial neural networks for oil production. The Science of The Total Environment. 958. 177866–177866. 4 indexed citations

Malavige, Gathsaurie Neelika, Peter Sjö, Kavita Singh, et al.. (2023). Facing the escalating burden of dengue: Challenges and perspectives. SHILAP Revista de lepidopterología. 3(12). e0002598–e0002598. 34 indexed citations

Dousha, Lovisa, et al.. (2021). Assessing Respiratory Immune Responses to <em>Haemophilus Influenzae</em>. Journal of Visualized Experiments. 1 indexed citations

González, Carolina, et al.. (2021). Abstract #1002919: Endocrine Therapy for COVID19: A Randomized Pilot Study Using Calcitriol. Endocrine Practice. 27(6). S79–S79. 2 indexed citations

Dousha, Lovisa, et al.. (2021). Assessing Respiratory Immune Responses to <em>Haemophilus Influenzae</em>. Journal of Visualized Experiments. 1 indexed citations

Rothman, Adam J., Steven Lim, Daisuke Hasegawa, et al.. (2021). Abnormal Pulmonary Function Testing as an Independent Risk Factor for Procedural Complications During Transthoracic Needle Biopsies. Journal of Bronchology & Interventional Pulmonology. 29(3). 213–219. 3 indexed citations

King, Paul T., Kim M. O’Sullivan, Judy M. Callaghan, et al.. (2017). Deoxyribonuclease 1 reduces pathogenic effects of cigarette smoke exposure in the lung. Scientific Reports. 7(1). 12128–12128. 33 indexed citations

King, Paul T., Steven Lim, Adrian Pick, et al.. (2012). Lung T-cell responses to nontypeable Haemophilus influenzae in patients with chronic obstructive pulmonary disease. Journal of Allergy and Clinical Immunology. 131(5). 1314–1321.e14. 30 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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