Mohammed Didi

1.5k citations
50 papers · 899 indexed · h-index 18

Mohammed Didi

48 papers receiving 886 citations

Peers

Mohammed Didi
Comparison fields: 5 of 75
  • Endocrinology, Diabetes and Metabolism 511
  • Genetics 131
  • Reproductive Medicine 76
  • Neurology 104
  • Pediatrics, Perinatology and Child Health 134
Replace Helen L. Storr with:
Helen L. Storr United Kingdom
Whitney W. Woodmansee United States
Helen Spoudeas United Kingdom
Raphaël Rappaport France
Daniela Espósito Italy
Vivien Bonert United States
Anna Elsa Maria Allegri Italy
Bernardo Liberman Brazil
Christine Trivin France
Lefkothea Karaviti United States
Mohammed Didi relative to Helen L. Storr United Kingdom Helen L. Storr's profile →
Citations per field
00.5×1.7×
Helen L. Storr · 1×
Citations per year

Countries citing papers authored by Mohammed Didi

Since Specialization
Citations

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

Fields of papers citing papers by Mohammed Didi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 201948
2 201814
3 201824
4 20183
5 201820
6 201711
7 201711
8 201710
9
Bone Health Index is Low at Diagnosis of Growth Hormone Deficiency, and Improves During Growth Hormone Therapy
20161
10 201413
11 201326
12 201120
13 20111
14 200814
15 20083
16 200622
17 20058
18 20031
19 200373
20 200317

About Mohammed Didi

Mohammed Didi is a scholar working on Endocrinology, Diabetes and Metabolism, Endocrine and Autonomic Systems and Behavioral Neuroscience, having authored 50 papers that have together received 899 indexed citations. Recurring topics across this work include Growth Hormone and Insulin-like Growth Factors (11 papers), Pituitary Gland Disorders and Treatments (6 papers), Diabetes and associated disorders (5 papers), Thyroid Disorders and Treatments (5 papers), Neonatal Respiratory Health Research (5 papers), Diabetes Management and Research (4 papers), Adrenal and Paraganglionic Tumors (4 papers) and Hormonal Regulation and Hypertension (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (511 citations), Genetics (131 citations) and Reproductive Medicine (76 citations). Mohammed Didi has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Joanne Blair, Senthil Senniappan, Conor Mallucci, Sze May Ng, Barry Pizer, Matthew Peak, Nicky Thorp, Dinesh Giri, Benedetta Pettorini and John Goodden. Their work appears in journals such as Archives of Disease in Childhood, Clinical Endocrinology, European Journal of Endocrinology, Trials and Child s Nervous System.

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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