Naimat Ullah Khan

921 citations
66 papers · 627 · h-index 17

Impact in

Papers in

Naimat Ullah Khan

62 papers receiving 617 citations

Peers

Naimat Ullah Khan
Comparison fields: 5 of 93
  • Electronic, Optical and Magnetic Materials 138
  • Materials Chemistry 207
  • Agronomy and Crop Science 43
  • Electrical and Electronic Engineering 201
  • Infectious Diseases 55
Replace Suhee Kim with:
Suhee Kim South Korea
Jung‐Keun Lee South Korea
Ambika Sharma India
Dakota O’Dell United States
Shuangjie Zhang China
Birong Li United States
Jennifer Grant United States
Liqing Xu China
Wei Yao China
A. M. Rodríguez Argentina
Naimat Ullah Khan relative to Suhee Kim South Korea Suhee Kim's profile →
Citations per field
00.5×9.3×
Suhee Kim · 1×
Citations per year

Countries citing papers authored by Naimat Ullah Khan

Since Specialization
Citations

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

Fields of papers citing papers by Naimat Ullah Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Naimat Ullah Khan. 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 Naimat Ullah Khan. The network helps show where Naimat Ullah Khan may publish in the future.

Co-authors

The 25 scholars most cited alongside Naimat Ullah Khan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Naimat Ullah Khan Line = papers co-authored together Naimat Ullah Khan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 66 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201439
2 202336
3 202527
4 202226
5 201226
6 201925
7 202325
8 201924
9 200924
10 201423
11 202323
12 202423
13 201520
14 202320
15 202317
16 201917
17 202216
18 202514
19 201813
20 202312

About Naimat Ullah Khan

Naimat Ullah Khan is a scholar working on Materials Chemistry, Electrical and Electronic Engineering, Electronic, Optical and Magnetic Materials, Infectious Diseases and Agronomy and Crop Science, having authored 66 papers that have together received 627 indexed citations. Recurring topics across this work include Perovskite Materials and Applications (15 papers), Thermal Expansion and Ionic Conductivity (10 papers), Heusler alloys: electronic and magnetic properties (8 papers), Milk Quality and Mastitis in Dairy Cows (7 papers), Chronic Obstructive Pulmonary Disease (COPD) Research (5 papers), Vector-Borne Animal Diseases (3 papers), Parasitic Infections and Diagnostics (3 papers) and Clostridium difficile and Clostridium perfringens research (3 papers). The work is most often cited by research in Electronic, Optical and Magnetic Materials (138 citations), Materials Chemistry (207 citations), Agronomy and Crop Science (43 citations), Electrical and Electronic Engineering (201 citations) and Infectious Diseases (55 citations). Naimat Ullah Khan has collaborated with scholars based in Pakistan, China and Saudi Arabia. Frequent co-authors include Dave Singh, Abid Zaman, Vineet Tirth, Moamen S. Refat, Nizar Yonan, Ali Algahtani, Jehan Y. Al‐Humaidi, Janelle Yorke, Adam Garrow and Sarah Tyson. Their work appears in journals such as International Journal of COPD, Journal of Sol-Gel Science and Technology, ACS Omega, PLoS ONE and RSC Advances.

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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