Subhadra Dash

400 citations
6 papers · 13 · h-index 3

Impact in

    • Immune cells in cancer
    • Immune Cell Function and Interaction
    • Synthesis and Biological Evaluation
    • Synthesis and biological activity
    • Multicomponent Synthesis of Heterocycles

Papers in

    • Inflammation biomarkers and pathways 4
    • Immune cells in cancer 4
    • Blood Coagulation and Thrombosis Mechanisms 2
    • Autoimmune and Inflammatory Disorders Research 1

Subhadra Dash

6 papers receiving 13 citations

Peers

Subhadra Dash
Comparison fields: 5 of 10
  • Immunology 4
  • Organic Chemistry 5
  • Pharmaceutical Science 1
  • Biotechnology 1
  • Oncology 3
Replace David Hodson with:
David Hodson United Kingdom
Ann Rowley United States
H Assalaarachchi United Kingdom
Paola Manara Italy
Helen H. Sun United States
Jiei Sasaki Japan
X. L. Kang China
Nandini Avula United States
José Liboy-Lugo Puerto Rico
Mayra Shanley United States
Subhadra Dash relative to David Hodson United Kingdom David Hodson's profile →
Citations per field
00.5×
David Hodson · 1×
Citations per year

Countries citing papers authored by Subhadra Dash

Since Specialization
Citations

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

Fields of papers citing papers by Subhadra Dash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Subhadra Dash, 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 Subhadra Dash Line = papers co-authored together Subhadra Dash links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1 20226
2 20192
3 20212
4 20161
5 20211
6 20211

About Subhadra Dash

Subhadra Dash is a scholar working on Immunology, Hematology, Neurology, Organic Chemistry and Genetics, having authored 6 papers that have together received 13 indexed citations. Recurring topics across this work include Inflammation biomarkers and pathways (4 papers), Immune cells in cancer (4 papers), Blood Coagulation and Thrombosis Mechanisms (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), Synthesis and Catalytic Reactions (1 paper), Natural Compounds in Disease Treatment (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper) and Autoimmune and Inflammatory Disorders Research (1 paper). The work is most often cited by research in Immunology (4 citations), Organic Chemistry (5 citations), Pharmaceutical Science (1 citation), Biotechnology (1 citation) and Oncology (3 citations). Subhadra Dash has collaborated with scholars based in United States. Frequent co-authors include D. C. Williams, Anirban Datta, Nicola Pozzi, Enrico Di, Son M. Pham, M. Angels Estiarte, Nadine S. Jahchan, Mikhail Binnewies, Erin Mayes and Manith Norng. Their work appears in journals such as Molecular Cancer Therapeutics, European Journal of Medicinal Chemistry, Cancer Research, Blood and SHILAP Revista de lepidopterología.

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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