Manory Fernando

1.5k citations
15 papers · 1.1k indexed · h-index 13
Topics
Pituitary Gland Disorders and Treatments (7 papers)Melanoma and MAPK Pathways (5 papers)Protein Kinase Regulation and GTPase Signaling (3 papers)
Partner nations
United StatesChina

In The Last Decade

Manory Fernando

15 papers receiving 1.1k citations

Peers

Manory Fernando
Comparison fields: 5 of 77
  • Endocrinology, Diabetes and Metabolism 581
  • Molecular Biology 523
  • Cancer Research 210
  • Surgery 184
  • Oncology 140
Replace Daniel L. Altschuler with:
Daniel L. Altschuler United States
Kazutaka Haraguchi Japan
Aleck Hercbergs United States
Ling-Mei Wang United States
Erin Glasheen United States
Anny Souque France
C. Susini France
Yoshiaki Onodera Japan
Joan E. Willett-Brozick United States
Joana Couto Portugal
Manory Fernando relative to Daniel L. Altschuler United States Daniel L. Altschuler's profile →
Citations per field
00.5×1.5×2.5×
Daniel L. Altschuler · 1×
Citations per year

Countries citing papers authored by Manory Fernando

Since Specialization
Citations

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

Fields of papers citing papers by Manory Fernando

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manory Fernando

This figure shows the co-authorship network connecting the top 25 collaborators of Manory Fernando. A scholar is included among the top collaborators of Manory Fernando based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Manory Fernando. Manory Fernando is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

15 of 15 papers shown
#WorkIndexed citations
1 13
2 1
3 58
4 2
5 90
6 44
7 41
8 38
9 144
10 110
11 122
12 156
13 187
14 19
15 67

About Manory Fernando

Manory Fernando is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Molecular Biology, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Pituitary Gland Disorders and Treatments (7 papers), Melanoma and MAPK Pathways (5 papers) and Protein Kinase Regulation and GTPase Signaling (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (581 citations), Cancer Research (210 citations) and Genetics (93 citations). Manory Fernando has collaborated with scholars based in United States and China. Frequent co-authors include Anthony P. Heaney, Шломо Мелмед, William H. Yong, Gregory A. Horwitz, Viera Nelson, Hongxiang Hui, Josette Carnahan, Carol Babij, Quynh‐Thu Le and Adrian L. Smith. Their work appears in journals such as Journal of Clinical Investigation, Nature Medicine and The Journal of Clinical Endocrinology & Metabolism.

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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