Shelly Pathak

487 citations
10 papers · 331 · h-index 9

Impact in

  • Hematology top 10%
    • Autoimmune and Inflammatory Disorders Research
    • IL-33, ST2, and ILC Pathways
    • interferon and immune responses
    • Immune Cell Function and Interaction

Papers in

    • IL-33, ST2, and ILC Pathways 3
    • Immune Cell Function and Interaction 3
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
    • Inflammasome and immune disorders 6

Shelly Pathak

10 papers receiving 330 citations

Peers

Shelly Pathak
Comparison fields: 5 of 67
  • Hematology 70
  • Immunology 127
  • Rheumatology 55
  • Molecular Biology 186
  • Dermatology 20
Replace Sei Muraoka with:
Sei Muraoka Japan
Floris van Alphen Netherlands
Madelaine Hahn Germany
Mariana Ivanova Bulgaria
Jinxian Huang China
Yosuke Masamoto Japan
Shuhong Chi China
Olfa Abida Tunisia
Sharmal Narayan Switzerland
Shelly Pathak relative to Sei Muraoka Japan Sei Muraoka's profile →
Citations per field
00.5×3.9×
Sei Muraoka · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Shelly Pathak, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Shelly Pathak Line = papers co-authored together Shelly Pathak links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 201986
2 201768
3 201658
4 201828
5 201928
6 202417
7 201916
8 202312
9 202110
10 20208

About Shelly Pathak

Shelly Pathak is a scholar working on Immunology, Molecular Biology, Hematology, Oncology and Cancer Research, having authored 10 papers that have together received 331 indexed citations. Recurring topics across this work include Inflammasome and immune disorders (6 papers), IL-33, ST2, and ILC Pathways (3 papers), Immune Cell Function and Interaction (3 papers), Viral-associated cancers and disorders (2 papers), Autoimmune and Inflammatory Disorders Research (2 papers), Hematopoietic Stem Cell Transplantation (2 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Cancer Genomics and Diagnostics (1 paper). The work is most often cited by research in Hematology (70 citations), Immunology (127 citations), Rheumatology (55 citations), Molecular Biology (186 citations) and Dermatology (20 citations). Shelly Pathak has collaborated with scholars based in United Kingdom, Switzerland and Germany. Frequent co-authors include Sinisa Savic, Michael McDermott, Thomas Scambler, Payal Ganguly, Jonathan Holbrook, Chi Huey Wong, Fabio Martinon, D. Peckham, Samuel Lara‐Reyna and Heledd Jarosz-Griffiths. Their work appears in journals such as Frontiers in Immunology, International Journal of Molecular Sciences, Journal of Clinical Pathology, Lara D. Veeken and eLife.

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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