Muhammad Kashif

1.0k citations
42 papers · 715 indexed · 2 hit papers · h-index 9

Muhammad Kashif

36 papers receiving 710 citations

Hit Papers

MRSA compendium of epidemiology, tra...892019202620212023100200300400

Peers

Muhammad Kashif
Comparison fields: 5 of 102
  • Cancer Research 168
  • Molecular Biology 463
  • Biochemistry 27
  • Immunology 77
  • Oncology 98
Replace Raffaele Frazzi with:
Raffaele Frazzi Italy
Hui‐Ping Lin China
Adrian Bogdan Țigu Romania
Alfonso Barreto Colombia
Junshan Ruan China
Hsiao‐Fan Chen Taiwan
Yin‐Kwan Wong China
Vikash Singh India
Rakesh Arya India
Muhammad Kashif relative to Raffaele Frazzi Italy Raffaele Frazzi's profile →
Citations per field
00.5×1.5×1.8×
Raffaele Frazzi · 1×
Citations per year

Countries citing papers authored by Muhammad Kashif

Since Specialization
Citations

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

Fields of papers citing papers by Muhammad Kashif

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Muhammad Kashif, 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 Muhammad Kashif Line = papers co-authored together Muhammad Kashif links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4
MRSA compendium of epidemiology, transmission, pathophysiology, treatment, and prevention within one health frameworkbreakdown →
202389
5 20233
6 20232
7 20236
8 20230
9 20231
10 20232
11 20223
12 20223
13 202211
14 202119
15
BACH1 Stabilization by Antioxidants Stimulates Lung Cancer Metastasisbreakdown →
2019427
16
The Darkness Brings Light in the Field of Bio-Communication Through Melatonin Production
20171
17 20175
18 20162
19 201521
20 201416

About Muhammad Kashif

Muhammad Kashif is a scholar working on Hematology, Virology and Anesthesiology and Pain Medicine, having authored 42 papers that have together received 715 indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (5 papers), Computational Drug Discovery Methods (4 papers), Protein Degradation and Inhibitors (4 papers), Nuclear Structure and Function (3 papers), Retinoids in leukemia and cellular processes (3 papers), RNA Research and Splicing (3 papers), Virus-based gene therapy research (2 papers) and Melanoma and MAPK Pathways (2 papers). The work is most often cited by research in Cancer Research (168 citations), Molecular Biology (463 citations) and Biochemistry (27 citations). Muhammad Kashif has collaborated with scholars based in Pakistan, Sweden and China. Frequent co-authors include Martin O. Bergö, Haidong Yao, Clotilde Wiel, Mohamed X. Ibrahim, Chowdhury Arif Jahangir, Dorian V. Ziegler, Chandrasekhar Kanduri, Kristell Le Gal, Tanushree Ghosh and Tanmoy Mondal. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and SHILAP Revista de lepidopterología.

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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