Mohammad Faraz Khan

404 citations
35 papers · 215 · h-index 7

Impact in

Papers in

    • Surgical Simulation and Training 6
    • Intraperitoneal and Appendiceal Malignancies 4
    • Colorectal Cancer Surgical Treatments 5

Mohammad Faraz Khan

27 papers receiving 211 citations

Peers

Mohammad Faraz Khan
Comparison fields: 5 of 44
  • Health Informatics 3
  • Oncology 46
  • Family Practice 3
  • Surgery 61
  • Biotechnology 9
Replace Jeffrey Dalli with:
Jeffrey Dalli Ireland
Michele D’Ambra Italy
Ștefan Morărașu Romania
Hari B. Keshava United States
Shunjin Ryu Japan
Andrew Kalra United States
Zhigang Ji China
Eric Black‐Maier United States
Yudai Tamura Japan
Dai-Yin Lu Taiwan
Mohammad Faraz Khan relative to Jeffrey Dalli Ireland Jeffrey Dalli's profile →
Citations per field
00.5×3.2×
Jeffrey Dalli · 1×
Citations per year

Countries citing papers authored by Mohammad Faraz Khan

Since Specialization
Citations

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

Fields of papers citing papers by Mohammad Faraz Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202059
2 202141
3 202119
4 202216
5 202214
6 20219
7 20248
8 20215
9 20205
10 20205
11 20244
12 20213
13 20243
14 20192
15 20242
16 20232
17 20232
18 20232
19 20222
20 20202

About Mohammad Faraz Khan

Mohammad Faraz Khan is a scholar working on Surgery, Oncology, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine and Biomedical Engineering, having authored 35 papers that have together received 215 indexed citations. Recurring topics across this work include Surgical Simulation and Training (6 papers), Cardiac, Anesthesia and Surgical Outcomes (6 papers), Colorectal Cancer Surgical Treatments (5 papers), Intraperitoneal and Appendiceal Malignancies (4 papers), Anatomy and Medical Technology (3 papers), Infection Control and Ventilation (2 papers), Drilling and Well Engineering (2 papers) and Oil and Gas Production Techniques (2 papers). The work is most often cited by research in Health Informatics (3 citations), Oncology (46 citations), Family Practice (3 citations), Surgery (61 citations) and Biotechnology (9 citations). Mohammad Faraz Khan has collaborated with scholars based in Ireland, United Kingdom and Switzerland. Frequent co-authors include Ronan A. Cahill, Jeffrey Dalli, Niall Hardy, Donal F. O’Shea, Jonathan P. Epperlein, Sergiy Zhuk, Peter Neary, Rajesh Nair, Helen Heneghan and Deirdre Nally. Their work appears in journals such as Surgical Endoscopy, European Journal of Surgical Oncology, British journal of surgery, Techniques in Coloproctology and International Journal of Surgery.

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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