Deepti Shukla

1.4k citations
48 papers · 1.1k indexed · h-index 18
Topics
Fixed Point Theorems Analysis (10 papers)Viral Infections and Immunology Research (7 papers)Optimization and Variational Analysis (5 papers)
Journals
SHILAP Revista de lepidopterologíaGastroenterologyJournal of Virology

In The Last Decade

Deepti Shukla

39 papers receiving 1.0k citations

Peers

Deepti Shukla
Comparison fields: 5 of 115
  • Infectious Diseases 274
  • Cardiology and Cardiovascular Medicine 223
  • Molecular Biology 219
  • Oncology 202
  • Genetics 182
Replace Kate L. Graham with:
Kate L. Graham Australia
Robert M. Powell United Kingdom
Vinit Karmali United States
Kyoko Nohtomi Japan
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Citations per field
00.5×1.6×
Kate L. Graham · 1×
Citations per year

Countries citing papers authored by Deepti Shukla

Since Specialization
Citations

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

Fields of papers citing papers by Deepti Shukla

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Deepti Shukla

This figure shows the co-authorship network connecting the top 25 collaborators of Deepti Shukla. A scholar is included among the top collaborators of Deepti Shukla 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 Deepti Shukla. Deepti Shukla 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 2
2 3
3 10
4 2
5 0
6 0
7 9
8
Fixed Point Theorem in Banach Space
31
9
Coincidence points and common fixed points in cone Banach spaces
1
10
SIX MAPS WITH A COMMON FIXED POINT IN COMPLEX VALUED METRIC SPACES
2
11 26
12 29
13 31
14 54
15 139
16 9
17 41
18 31
19 29
20 57

About Deepti Shukla

Deepti Shukla is a scholar working on Geometry and Topology, Aging and Computational Theory and Mathematics, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Fixed Point Theorems Analysis (10 papers), Viral Infections and Immunology Research (7 papers) and Optimization and Variational Analysis (5 papers). The work is most often cited by research in Infectious Diseases (274 citations), Cardiology and Cardiovascular Medicine (223 citations) and Animal Science and Zoology (88 citations). Deepti Shukla has collaborated with scholars based in United States, India and Australia. Frequent co-authors include Christopher G. Kevil, John H. Chidlow, Matthew B. Grisham, Tapan N. Dhole, Scott H. Garrett, Seema Somji, Mary Ann Sens, Mana Moghadamfalahi, Christiane E. Wobus and Harish Changotra. Their work appears in journals such as SHILAP Revista de lepidopterología, Gastroenterology and Journal of Virology.

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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