Shelly Pathak

487 total citations
10 papers, 331 citations indexed

About

Shelly Pathak is a scholar working on Immunology, Molecular Biology and Hematology. According to data from OpenAlex, Shelly Pathak has authored 10 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Immunology, 6 papers in Molecular Biology and 4 papers in Hematology. Recurrent topics in Shelly Pathak's work include Inflammasome and immune disorders (6 papers), IL-33, ST2, and ILC Pathways (3 papers) and Immune Cell Function and Interaction (3 papers). Shelly Pathak is often cited by papers focused on Inflammasome and immune disorders (6 papers), IL-33, ST2, and ILC Pathways (3 papers) and Immune Cell Function and Interaction (3 papers). Shelly Pathak collaborates with scholars based in United Kingdom, Switzerland and Germany. Shelly Pathak's co-authors include Sinisa Savic, Michael McDermott, Thomas Scambler, Payal Ganguly, Heledd Jarosz-Griffiths, D. Peckham, Samuel Lara‐Reyna, Fabio Martinon, Jonathan Holbrook and Chi Huey Wong and has published in prestigious journals such as SHILAP Revista de lepidopterología, Blood and International Journal of Molecular Sciences.

In The Last Decade

Shelly Pathak

10 papers receiving 330 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Shelly Pathak United Kingdom	9	186	127	70	55	40	10	331
Geneviève Marcoux Canada	8	199 1.1×	81 0.6×	77 1.1×	34 0.6×	24 0.6×	17	329
Sharmal Narayan Switzerland	9	229 1.2×	229 1.8×	56 0.8×	82 1.5×	24 0.6×	10	464
Markus A. Loeven Netherlands	9	132 0.7×	217 1.7×	50 0.7×	31 0.6×	46 1.1×	12	386
Philipp Schoengraf Germany	5	145 0.8×	149 1.2×	51 0.7×	38 0.7×	12 0.3×	6	367
Blanca Soler Palacios Spain	8	116 0.6×	152 1.2×	33 0.5×	56 1.0×	14 0.3×	12	319
Kazunori Karasawa Japan	11	83 0.4×	83 0.7×	41 0.6×	42 0.8×	33 0.8×	33	330
Jessica A. Pettitt Australia	5	125 0.7×	129 1.0×	60 0.9×	19 0.3×	23 0.6×	7	348
Floris van Alphen Netherlands	12	83 0.4×	102 0.8×	74 1.1×	57 1.0×	50 1.3×	15	315
Daniel Ching Australia	11	144 0.8×	91 0.7×	39 0.6×	74 1.3×	45 1.1×	28	429

Countries citing papers authored by Shelly Pathak

Since Specialization

Citations

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

Fields of papers citing papers by Shelly Pathak

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shelly Pathak

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

All Works

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10 of 10 papers shown

Pathak, Shelly, et al.. (2024). Cellular Senescence and Inflammaging in the Bone: Pathways, Genetics, Anti-Aging Strategies and Interventions. International Journal of Molecular Sciences. 25(13). 7411–7411. 17 indexed citations

Rausch, Magdalena, et al.. (2023). Organoid Models and Next-Generation Sequencing for Bone Marrow and Related Disorders. SHILAP Revista de lepidopterología. 2(3). 123–139. 12 indexed citations

Ganguly, Payal, Bradley Toghill, & Shelly Pathak. (2021). Aging, Bone Marrow and Next-Generation Sequencing (NGS): Recent Advances and Future Perspectives. International Journal of Molecular Sciences. 22(22). 12225–12225. 10 indexed citations

Pathak, Shelly, Dorota Rowczenio, Samuel Lara‐Reyna, et al.. (2020). Evidence of B Cell Clonality and Investigation Into Properties of the IgM in Patients With Schnitzler Syndrome. Frontiers in Immunology. 11. 569006–569006. 8 indexed citations

Scambler, Thomas, Heledd Jarosz-Griffiths, Samuel Lara‐Reyna, et al.. (2019). ENaC-mediated sodium influx exacerbates NLRP3-dependent inflammation in cystic fibrosis. eLife. 8. 86 indexed citations

Kačar, Mark, Shelly Pathak, & Sinisa Savic. (2019). Hereditary systemic autoinflammatory diseases and Schnitzler’s syndrome. Lara D. Veeken. 58(Supplement_6). vi31–vi43. 16 indexed citations

Pathak, Shelly, Dorota Rowczenio, Roger G. Owen, et al.. (2019). Exploratory Study of MYD88 L265P, Rare NLRP3 Variants, and Clonal Hematopoiesis Prevalence in Patients With Schnitzler Syndrome. Arthritis & Rheumatology. 71(12). 2121–2125. 28 indexed citations

Lawless, Dylan, et al.. (2018). A Case of Adult-Onset Still’s Disease Caused by a Novel Splicing Mutation in TNFAIP3 Successfully Treated With Tocilizumab. Frontiers in Immunology. 9. 1527–1527. 28 indexed citations

Rowczenio, Dorota, Shelly Pathak, Juan I. Aróstegui, et al.. (2017). Molecular genetic investigation, clinical features, and response to treatment in 21 patients with Schnitzler syndrome. Blood. 131(9). 974–981. 68 indexed citations

10.

Pathak, Shelly, Michael McDermott, & Sinisa Savic. (2016). Autoinflammatory diseases: update on classification diagnosis and management. Journal of Clinical Pathology. 70(1). 1–8. 58 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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