Asiya Seema Chida

2.8k citations
17 papers · 1.5k indexed · 1 hit paper · h-index 13
Topics
T-cell and B-cell Immunology (7 papers)Systemic Lupus Erythematosus Research (4 papers)Immune Cell Function and Interaction (3 papers)
Partner nations
United StatesIndiaChina

In The Last Decade

Asiya Seema Chida

16 papers receiving 1.5k citations

Hit Papers

Diversity, cellular origin and autoreactivity of antibody...20152026201820222015100200300

Peers

Asiya Seema Chida
Comparison fields: 5 of 108
  • Immunology 623
  • Molecular Biology 511
  • Rheumatology 222
  • Physiology 172
  • Pulmonary and Respiratory Medicine 163
Replace Steven J. Adelman with:
Steven J. Adelman United States
Longhou Fang United States
Zhongjian Zhang United States
Joëlle Perez France
Paulo Rodrigues‐Santos Portugal
Eileen McNeill United Kingdom
T B Strom United States
Hans Gyllenhammar Sweden
Paul Courchesne United States
Bernhard Ugele Germany
Asiya Seema Chida relative to Steven J. Adelman United States Steven J. Adelman's profile →
Citations per field
00.5×2.7×
Steven J. Adelman · 1×
Citations per year

Countries citing papers authored by Asiya Seema Chida

Since Specialization
Citations

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

Fields of papers citing papers by Asiya Seema Chida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asiya Seema Chida. 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 Asiya Seema Chida. The network helps show where Asiya Seema Chida may publish in the future.

Co-authorship network of co-authors of Asiya Seema Chida

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

All Works

17 of 17 papers shown
#WorkIndexed citations
1 0
2 15
3 6
4 23
5 12
6
Diversity, cellular origin and autoreactivity of antibody-secreting cell population expansions in acute systemic lupus erythematosusbreakdown →
379
7 71
8 19
9 26
10 33
11 22
12 393
13 476
14 7
15 11
16 19
17 13

About Asiya Seema Chida

Asiya Seema Chida is a scholar working on Immunology, Rheumatology and Virology, having authored 17 papers that have together received 1.5k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (7 papers), Systemic Lupus Erythematosus Research (4 papers) and Immune Cell Function and Interaction (3 papers). The work is most often cited by research in Immunology (623 citations), Biochemistry (136 citations) and Rheumatology (222 citations). Asiya Seema Chida has collaborated with scholars based in United States, India and China. Frequent co-authors include Irfan Rahman, Saibal K. Biswas, Sanjay B. Maggirwar, Nusrat Shafiq, Iain Kilty, Se‐Ran Yang, Mark R. Bauter, Kathryn E. Seweryniak, Scott A. Jenks and Christopher M. Tipton. Their work appears in journals such as Nature Communications, ACS Nano and Nature 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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