Inayat Gill

472 citations
22 papers · 307 indexed · h-index 4
Topics
COVID-19 Clinical Research Studies (3 papers)Sarcoidosis and Beryllium Toxicity Research (2 papers)Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers)
Journals
SHILAP Revista de lepidopterologíaGastroenterologyJournal of the American Society of Nephrology

In The Last Decade

Inayat Gill

12 papers receiving 291 citations

Peers

Inayat Gill
Comparison fields: 5 of 66
  • Infectious Diseases 203
  • Oncology 115
  • Neurology 111
  • Epidemiology 49
  • Clinical Psychology 34
Replace Angy Hanna with:
Angy Hanna United States
Fadi Odish United States
Aimen Vanood United States
JP Armstrong Canada
Federico Espinosa Chile
Ezequiel Saavedra Argentina
Camila Agnoletti Chile
A Bengolea Argentina
Verónica Sanguine Argentina
Matilde Boccia Italy
Inayat Gill relative to Angy Hanna United States Angy Hanna's profile →
Citations per field
00.5×1.5×
Angy Hanna · 1×
Citations per year

Countries citing papers authored by Inayat Gill

Since Specialization
Citations

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

Fields of papers citing papers by Inayat Gill

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inayat Gill

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 0
6 3
7 12
8 2
9 1
10 2
11 2
12 1
13 5
14 0
15 3
16 264
17 0
18 0
19 1
20 9

About Inayat Gill

Inayat Gill is a scholar working on Anesthesiology and Pain Medicine, Infectious Diseases and Pharmacy, having authored 22 papers that have together received 307 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (3 papers), Sarcoidosis and Beryllium Toxicity Research (2 papers) and Coagulation, Bradykinin, Polyphosphates, and Angioedema (2 papers). The work is most often cited by research in Infectious Diseases (203 citations), Neurology (111 citations) and Oncology (115 citations). Inayat Gill has collaborated with scholars based in United States, United Kingdom and Australia. Frequent co-authors include Zaid Imam, Alexandra Halalau, Angy Hanna, Fadi Odish, JP Armstrong, Aimen Vanood, Daniel O’Connor, P. T. Hooper, Mitchell S. Cappell and Mitual Amin. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and Journal of the American Society of Nephrology.

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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