Neil M. McKern

5.0k citations
56 papers · 3.7k indexed · 1 hit paper · h-index 33
Topics
Plant Virus Research Studies (18 papers)Monoclonal and Polyclonal Antibodies Research (9 papers)Growth Hormone and Insulin-like Growth Factors (8 papers)

In The Last Decade

Neil M. McKern

56 papers receiving 3.6k citations

Hit Papers

Crystal Structure of a Truncated Epidermal Growth Factor ...20022026201020182002200400600

Peers

Neil M. McKern
Comparison fields: 5 of 101
  • Molecular Biology 2.0k
  • Oncology 1.0k
  • Radiology, Nuclear Medicine and Imaging 982
  • Plant Science 719
  • Epidemiology 404
Replace Joe Sambrook with:
Joe Sambrook United States
Bernhard Dobberstein Germany
Steven Kessler United States
James L. Hartley United States
D. Jasper G. Rees South Africa
Peter L. Ey Australia
Jessica R. Ingram United States
Raymond A. Koski United States
Silvia Bolland United States
P J Barr United States
Neil M. McKern relative to Joe Sambrook United States Joe Sambrook's profile →
Citations per field
00.5×1.5×2.4×
Joe Sambrook · 1×
Citations per year

Countries citing papers authored by Neil M. McKern

Since Specialization
Citations

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

Fields of papers citing papers by Neil M. McKern

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Neil M. McKern. 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 Neil M. McKern. The network helps show where Neil M. McKern may publish in the future.

Co-authorship network of co-authors of Neil M. McKern

This figure shows the co-authorship network connecting the top 25 collaborators of Neil M. McKern. A scholar is included among the top collaborators of Neil M. McKern 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 Neil M. McKern. Neil M. McKern 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
1 191
2 47
3 65
4 33
5 78
6
Crystal Structure of a Truncated Epidermal Growth Factor Receptor Extracellular Domain Bound to Transforming Growth Factor αbreakdown →
603
7 24
8 36
9 8
10 86
11 66
12 38
13 18
14 53
15 19
16 51
17 31
18 7
19 10
20 67

About Neil M. McKern

Neil M. McKern is a scholar working on Endocrinology, Structural Biology and Biotechnology, having authored 56 papers that have together received 3.7k indexed citations. Recurring topics across this work include Plant Virus Research Studies (18 papers), Monoclonal and Polyclonal Antibodies Research (9 papers) and Growth Hormone and Insulin-like Growth Factors (8 papers). The work is most often cited by research in Endocrinology (309 citations), Radiology, Nuclear Medicine and Imaging (982 citations) and Oncology (1.0k citations). Neil M. McKern has collaborated with scholars based in Australia, United States and Netherlands. Frequent co-authors include Colin W. Ward, Timothy E. Adams, T C Elleman, George O. Lovrecz, Meizhen Lou, Thomas Garrett, Michael C. Lawrence, D. D. Shukla, Edouard C. Nice and Robert N. Jorissen. Their work appears in journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

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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