Subash Sad

9.7k citations
99 papers · 7.7k indexed · 2 hit papers · h-index 37

Subash Sad

99 papers receiving 7.4k citations

Hit Papers

The expanding universe of T-cell subsets: Th1, Th2 and more3.0k199520262005201550010001.5k2.0k2.5k

Peers

Subash Sad
Comparison fields: 5 of 131
  • Immunology 4.7k
  • Immunology and Allergy 285
  • Infectious Diseases 782
  • Endocrinology 195
  • Virology 176
Replace Marianne Boes with:
Marianne Boes Netherlands
Mario Milco D’Elios Italy
J. Magarian Blander United States
Luisa Martı́nez-Pomares United Kingdom
Kevin J. Maloy United Kingdom
Francesca Granucci Italy
Hans‐Willi Mittrücker Germany
Ashley Mansell Australia
Heinrich Körner Australia
Rebecca L. O’Brien United States
Subash Sad relative to Marianne Boes Netherlands Marianne Boes's profile →
Citations per field
00.5×1.5×
Marianne Boes · 1×
Citations per year

Countries citing papers authored by Subash Sad

Since Specialization
Citations

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

Fields of papers citing papers by Subash Sad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20251
2 20248
3 20213
4 2014155
5 201356
6 200932
7 200822
8 20086
9 200737
10 200741
11 2006102
12 200626
13 200536
14 200585
15 200452
16 200439
17 200319
18 200288
19 200158
20 200074

About Subash Sad

Subash Sad is a scholar working on Immunology, Biotechnology, Obstetrics and Gynecology, Physiology and Molecular Biology, having authored 99 papers that have together received 7.7k indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (38 papers), T-cell and B-cell Immunology (34 papers), Immune Cell Function and Interaction (31 papers), Immune Response and Inflammation (20 papers), Cell death mechanisms and regulation (11 papers), Reproductive System and Pregnancy (10 papers), Phagocytosis and Immune Regulation (8 papers) and interferon and immune responses (7 papers). The work is most often cited by research in Immunology (4.7k citations), Immunology and Allergy (285 citations), Infectious Diseases (782 citations), Endocrinology (195 citations) and Virology (176 citations). Subash Sad has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Tim R. Mosmann, Lakshmi Krishnan, Renu Dudani, Scott McComb, G. Dennis Sprott, Nirmal Robinson, Henk van Faassen, David Kägi, Li Li and G. B. Patel. Their work appears in journals such as The Journal of Immunology, Infection and Immunity, Journal of Biological Chemistry, Cell Death and Differentiation and American Journal of Reproductive Immunology.

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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