Pachiappan Manickam

4.9k citations
24 papers · 1.2k indexed · h-index 18

Pachiappan Manickam

24 papers receiving 1.1k citations

Peers

Pachiappan Manickam
Comparison fields: 5 of 86
  • Epidemiology 589
  • Oncology 444
  • Neurology 413
  • Molecular Biology 334
  • Cellular and Molecular Neuroscience 164
Replace Gabriele Stumm with:
Gabriele Stumm Germany
Alejandra M. Petrilli United States
Manuel Zeitelhofer Sweden
Sandra Siehler Switzerland
Sharon Zeligson Israel
Yves de Keyzer France
Cheri R. Owen United States
C. Henrique Alves Netherlands
Fei Xiao China
Jiasheng Zhang United States
Pachiappan Manickam relative to Gabriele Stumm Germany Gabriele Stumm's profile →
Citations per field
00.5×7.4×
Gabriele Stumm · 1×
Citations per year

Countries citing papers authored by Pachiappan Manickam

Since Specialization
Citations

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

Fields of papers citing papers by Pachiappan Manickam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pachiappan Manickam

This figure shows the co-authorship network connecting the top 25 collaborators of Pachiappan Manickam. A scholar is included among the top collaborators of Pachiappan Manickam 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 Pachiappan Manickam. Pachiappan Manickam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 15
2 90
3 47
4 18
5 20
6 16
7 68
8 30
9 50
10 9
11 53
12 25
13 83
14 28
15 47
16
Haplotype analysis defines a minimal interval for the multiple endocrine neoplasia type 1 (MEN1) gene.
28
17
Localization of the multiple endocrine neoplasia type I (MEN1) gene based on tumor loss of heterozygosity analysis.
48
18 95
19
Allelic deletions on chromosome 11q13 in multiple endocrine neoplasia type 1-associated and sporadic gastrinomas and pancreatic endocrine tumors.
119
20
Allelic deletions on chromosome 11q13 in multiple tumors from individual MEN1 patients.
102

About Pachiappan Manickam

Pachiappan Manickam is a scholar working on Epidemiology, Oncology and Neurology, having authored 24 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neuroendocrine Tumor Research Advances (15 papers), Lung Cancer Research Studies (7 papers) and Neuroblastoma Research and Treatments (6 papers). The work is most often cited by research in Neurology (413 citations), Epidemiology (589 citations) and Oncology (444 citations). Pachiappan Manickam has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Francis S. Collins, Allen M. Spiegel, Stephen J. Marx, Siradanahalli C. Guru, Settara C. Chandrasekharappa, Larisa V. Debelenko, Lance A. Liotta, Sebastiano Cavallaro, Velia D’Agata and Daniel L. Alkon. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Clinical Endocrinology & Metabolism and Brain Research.

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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