Ammar Muhammad

760 citations
26 papers · 395 · h-index 11

Impact in

Papers in

Ammar Muhammad

18 papers receiving 392 citations

Peers

Ammar Muhammad
Comparison fields: 5 of 34
  • Endocrinology, Diabetes and Metabolism 328
  • Surgery 168
  • Rheumatology 48
  • Genetics 28
  • Epidemiology 83
Replace Rosália do Prado Padovani with:
Rosália do Prado Padovani Brazil
Nami Takada Japan
Iraklis Vainas Greece
Miguel Paja Spain
Peter P. Issa United States
Maria Cristina Giustiniani Italy
Monica Hollowell United States
Avraam Avramidis Greece
Rahel Sahli Switzerland
Joana Simões‐Pereira Portugal
Ammar Muhammad relative to Rosália do Prado Padovani Brazil Rosália do Prado Padovani's profile →
Citations per field
00.5×2.8×
Rosália do Prado Padovani · 1×
Citations per year

Countries citing papers authored by Ammar Muhammad

Since Specialization
Citations

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

Fields of papers citing papers by Ammar Muhammad

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201766
2 201648
3 201846
4 201842
5 201939
6 202031
7 201526
8 201525
9 201624
10 202013
11 201610
12 20208
13 20215
14 20203
15
Review of current and emerging treatment options in acromegaly.
20153
16 20173
17 20172
18 20171
19 20180
20 20250

About Ammar Muhammad

Ammar Muhammad is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Epidemiology, Pulmonary and Respiratory Medicine and Urology, having authored 26 papers that have together received 395 indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (15 papers), Growth Hormone and Insulin-like Growth Factors (11 papers), Adrenal and Paraganglionic Tumors (10 papers), Neuroendocrine Tumor Research Advances (5 papers), Urological Disorders and Treatments (2 papers), Genetic Syndromes and Imprinting (2 papers), Genital Health and Disease (2 papers) and Trypanosoma species research and implications (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (328 citations), Surgery (168 citations), Rheumatology (48 citations), Genetics (28 citations) and Epidemiology (83 citations). Ammar Muhammad has collaborated with scholars based in Netherlands, Pakistan and Nigeria. Frequent co-authors include Sebastian Neggers, A. J. van der Lely, J. A. M. J. L. Janssen, Eva C Coopmans, Patric J. D. Delhanty, A.H.G. Dallenga, Iain Haitsma, Aart Jan van der Lely, Leo J. Hofland and Federico Gatto. Their work appears in journals such as European Journal of Endocrinology, The Journal of Clinical Endocrinology & Metabolism, Journal of the American College of Surgeons, Pituitary and Neuroendocrinology.

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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