Mohan Kale

551 citations
33 papers · 344 indexed · h-index 9
Topics
Stochastic processes and statistical mechanics (11 papers)Bayesian Methods and Mixture Models (8 papers)Mosquito-borne diseases and control (5 papers)
Partner nations
IndiaNorwayUnited States

In The Last Decade

Mohan Kale

28 papers receiving 335 citations

Peers

Mohan Kale
Comparison fields: 5 of 70
  • Infectious Diseases 111
  • Public Health, Environmental and Occupational Health 104
  • Molecular Biology 102
  • Ecology 75
  • Epidemiology 59
Replace Pandurang Kolekar with:
Pandurang Kolekar India
Taylor K. Paisie United States
Bradford P. Taylor United States
Christian Hentschker Germany
Fabienne Dufernez France
Kazuma Nakano Japan
Elisa Lazzeri Italy
Nico Grüner Germany
Dylan Frabutt United States
Wade B. Lawrence United States
Mohan Kale relative to Pandurang Kolekar India Pandurang Kolekar's profile →
Citations per field
00.5×1.5×1.8×
Pandurang Kolekar · 1×
Citations per year

Countries citing papers authored by Mohan Kale

Since Specialization
Citations

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

Fields of papers citing papers by Mohan Kale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mohan Kale

This figure shows the co-authorship network connecting the top 25 collaborators of Mohan Kale. A scholar is included among the top collaborators of Mohan Kale 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 Mohan Kale. Mohan Kale 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 8
4 1
5 3
6 7
7 1
8 2
9 75
10 22
11 2
12 18
13 15
14 3
15 32
16 41
17
Genotyping of Mumps viruses based on SH gene: Develop- ment of a server using alignment-free and alignment-based methods
6
18 1
19 2
20 0

About Mohan Kale

Mohan Kale is a scholar working on Drug Discovery, Mathematical Physics and Management Science and Operations Research, having authored 33 papers that have together received 344 indexed citations. Recurring topics across this work include Stochastic processes and statistical mechanics (11 papers), Bayesian Methods and Mixture Models (8 papers) and Mosquito-borne diseases and control (5 papers). The work is most often cited by research in Infectious Diseases (111 citations), Public Health, Environmental and Occupational Health (104 citations) and Environmental Chemistry (32 citations). Mohan Kale has collaborated with scholars based in India, Norway and United States. Frequent co-authors include Urmila Kulkarni‐Kale, Pandurang Kolekar, Vaishali Waman, Andrew Jenkins, Mona Sæbø, Hans Utkilen, T. V. Ramanathan, Sunil R. Vaidya, Suresh V. Kuchipudi and Chandrashekhar G. Raut. Their work appears in journals such as PLoS ONE, Vaccine and Molecular Phylogenetics and Evolution.

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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