Ruby Pawankar

2.3k total citations
11 papers, 256 citations indexed

About

Ruby Pawankar is a scholar working on Immunology and Allergy, Neurology and Physiology. According to data from OpenAlex, Ruby Pawankar has authored 11 papers receiving a total of 256 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Immunology and Allergy, 3 papers in Neurology and 3 papers in Physiology. Recurrent topics in Ruby Pawankar's work include Food Allergy and Anaphylaxis Research (3 papers), Allergic Rhinitis and Sensitization (3 papers) and Asthma and respiratory diseases (3 papers). Ruby Pawankar is often cited by papers focused on Food Allergy and Anaphylaxis Research (3 papers), Allergic Rhinitis and Sensitization (3 papers) and Asthma and respiratory diseases (3 papers). Ruby Pawankar collaborates with scholars based in Japan, Italy and Mexico. Ruby Pawankar's co-authors include Dennis K. Ledford, Giorgio Walter Canonica, Giovanni Passalacqua, Désirée Larenas‐Linnemann, Linda Cox, Thomas B. Casale, Carlos E. Baena‐Cagnani, Jean Bousquet, Nelson Augusto Rosário Filho and Paul Potter and has published in prestigious journals such as Journal of Allergy and Clinical Immunology, International Archives of Allergy and Immunology and Vaccines.

In The Last Decade

Ruby Pawankar

10 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ruby Pawankar Japan 8 206 176 96 30 26 11 256
Xinyan Cui China 6 52 0.3× 72 0.4× 14 0.1× 28 0.9× 23 0.9× 16 132
Deepen Patel Canada 10 332 1.6× 312 1.8× 80 0.8× 61 2.0× 15 378
Annemie Narkus Germany 8 426 2.1× 350 2.0× 231 2.4× 25 0.8× 14 449
Dennis L. Spangler United States 10 281 1.4× 168 1.0× 62 0.6× 56 1.9× 13 358
Maurizio Marogna Italy 13 920 4.5× 893 5.1× 462 4.8× 46 1.5× 5 0.2× 26 975
A. Salapatek Canada 8 135 0.7× 123 0.7× 38 0.4× 13 0.4× 18 179
Michael D. Widlitz United States 8 435 2.1× 428 2.4× 80 0.8× 185 6.2× 9 485
Rachel Moate United Kingdom 3 212 1.0× 118 0.7× 259 2.7× 1 0.0× 8 343
Emily Boozalis United States 8 85 0.4× 60 0.3× 235 2.4× 2 0.1× 17 261
Diego M. Conti Spain 4 105 0.5× 100 0.6× 4 0.0× 6 0.2× 10 179

Countries citing papers authored by Ruby Pawankar

Since Specialization
Citations

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

Fields of papers citing papers by Ruby Pawankar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ruby Pawankar

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

All Works

11 of 11 papers shown
1.
Hsu, Yu‐Lung, Pei‐Chi Chen, Kai‐Sheng Hsieh, et al.. (2024). Clinical Features and Vaccination Effects among Children with Post-Acute Sequelae of COVID-19 in Taiwan. Vaccines. 12(8). 910–910. 1 indexed citations
2.
Tanno, Luciana Kase, Thomas B. Casale, Nikolaos G. Papadopoulos, et al.. (2017). A call to arms of specialty societies to review the WHO International Classification of Diseases, Eleventh Revision terms appropriate for the diseases they manage: The example of the Joint Allergy Academies. Allergy and Asthma Proceedings. 38(4). 54–55. 11 indexed citations
3.
Ricci, Giampaolo, Francesca Cipriani, Carlos A. Cuello‐García, et al.. (2016). A clinical reading on “World Allergy Organization-McMaster University Guidelines for Allergic Disease Prevention (GLAD-P): Probiotics”. World Allergy Organization Journal. 9. 9–9. 10 indexed citations
4.
Bachert, Claus, Mark Larché, С. Бонини, et al.. (2015). Allergen immunotherapy on the way to product-based evaluation—a WAO statement. World Allergy Organization Journal. 8(1). 29–29. 63 indexed citations
5.
Passalacqua, Giovanni, Carlos E. Baena‐Cagnani, Jean Bousquet, et al.. (2013). Grading local side effects of sublingual immunotherapy for respiratory allergy: Speaking the same language. Journal of Allergy and Clinical Immunology. 132(1). 93–98. 117 indexed citations
6.
Canonica, Giorgio Walter, Carlos E. Baena‐Cagnani, Enrico Compalati, et al.. (2012). 100 Years of Immunotherapy: The Monaco Charter. International Archives of Allergy and Immunology. 160(4). 346–349. 11 indexed citations
7.
Potter, Paul C. & Ruby Pawankar. (2012). Indications, Efficacy, and Safety of Intranasal Corticosteriods in Rhinosinusitis. World Allergy Organization Journal. 5(Suppl 1). S14–S14. 5 indexed citations
8.
Ohta, K., Kazuo Akiyama, Mitsuru Adachi, et al.. (2010). [Assessment of ARIA2008 with a Japanese view point].. PubMed. 59(5). 528–35.
9.
Baba, Shunkichi, Terumichi Fujikura, Ruby Pawankar, & Toshiaki Yagi. (2004). Subjective evaluation of post-tympanoplasty hearing in relation to the pure tone threshold. Auris Nasus Larynx. 31(4). 347–351. 7 indexed citations
10.
11.
Ikezono, Tetsuo, et al.. (2000). Passive Transfer of Experimental Autoimmune Labyrinthitis. Audiology and Neurotology. 5(5). 292–299. 12 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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