Hikmat Permana

794 citations
39 papers · 345 indexed · h-index 9
Topics
COVID-19 Clinical Research Studies (10 papers)Diabetes Treatment and Management (10 papers)Diabetes and associated disorders (6 papers)

In The Last Decade

Hikmat Permana

33 papers receiving 331 citations

Peers

Hikmat Permana
Comparison fields: 5 of 77
  • Infectious Diseases 206
  • Endocrinology, Diabetes and Metabolism 82
  • Epidemiology 68
  • Neurology 66
  • Surgery 54
Replace Nanny Natalia Mulyani Soetedjo with:
Nanny Natalia Mulyani Soetedjo Indonesia
Giuseppe Ancona Italy
Nasser Malekpour Alamdari Iran
Yeganeh Farsi Iran
Miguel Contreras Venezuela
Namrata Singhania United States
Yanlong Hou China
Maria Foggia Italy
Yufeng Chu China
Carlos Díaz-Arocutipa Peru
Hikmat Permana relative to Nanny Natalia Mulyani Soetedjo Indonesia Nanny Natalia Mulyani Soetedjo's profile →
Citations per field
00.5×1.5×
Nanny Natalia Mulyani Soetedjo · 1×
Citations per year

Countries citing papers authored by Hikmat Permana

Since Specialization
Citations

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

Fields of papers citing papers by Hikmat Permana

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hikmat Permana

This figure shows the co-authorship network connecting the top 25 collaborators of Hikmat Permana. A scholar is included among the top collaborators of Hikmat Permana 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 Hikmat Permana. Hikmat Permana 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 3
4 22
5 2
6 1
7 0
8 4
9 2
10 39
11 24
12 7
13 16
14 49
15 4
16 70
17 8
18 4
19
The relationships between sorbitol dehydrogenase (sdh) level and diabetic rethinopathy in diabetes melitus type-2 patients
1
20 1

About Hikmat Permana

Hikmat Permana is a scholar working on Endocrinology, Diabetes and Metabolism, Infectious Diseases and Biological Psychiatry, having authored 39 papers that have together received 345 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (10 papers), Diabetes Treatment and Management (10 papers) and Diabetes and associated disorders (6 papers). The work is most often cited by research in Infectious Diseases (206 citations), Endocrinology, Diabetes and Metabolism (82 citations) and Neurology (66 citations). Hikmat Permana has collaborated with scholars based in Indonesia, New Zealand and United Kingdom. Frequent co-authors include Nanny Natalia Mulyani Soetedjo, Ian Huang, Rudi Supriyadi, Timotius Ivan Hariyanto, Antonia Anna Lukito, Michael Anthonius Lim, Raymond Pranata, Sherly Lawrensia, Rudi Wisaksana and Arto Yuwono Soeroto. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Transactions of the Royal Society of Tropical Medicine and Hygiene.

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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