G H Wong

8.9k total citations · 7 hit papers
54 papers, 7.7k citations indexed

About

G H Wong is a scholar working on Immunology, Molecular Biology and Physiology. According to data from OpenAlex, G H Wong has authored 54 papers receiving a total of 7.7k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Immunology, 10 papers in Molecular Biology and 10 papers in Physiology. Recurrent topics in G H Wong's work include Syphilis Diagnosis and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Immune Response and Inflammation (7 papers). G H Wong is often cited by papers focused on Syphilis Diagnosis and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Immune Response and Inflammation (7 papers). G H Wong collaborates with scholars based in United States, Australia and France. G H Wong's co-authors include David V. Goeddel, Louis A. Tartaglia, T. Merrill Ayres, Ian Clark‐Lewis, John W. Schrader, Larry W. Oberley, Perry F. Bartlett, Glenn C. Rice, F L Battye and Rigdon Lentz and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

G H Wong

53 papers receiving 7.4k citations

Hit Papers

A novel domain within the 55 kd TNF receptor signals cell... 1984 2026 1998 2012 1993 1990 1988 1989 1986 250 500 750 1000

Peers

G H Wong
Comparison fields: 5 of 127
  • Immunology 3.8k
  • Molecular Biology 3.3k
  • Cancer Research 1.1k
  • Oncology 917
  • Epidemiology 902
Replace Daniela N. Männel with:
Daniela N. Männel Germany
Manfred Brockhaus Switzerland
Philip E. Auron United States
Thomas A. Ferguson United States
A. J. H. Gearing United Kingdom
Kim L. Stocking United States
Makoto Naito Japan
Luigi Varesio Italy
Paul Conlon United States
С. Kronheim South Africa
Daniela N. Männel Germany View profile →
Citations per field, relative to G H Wong
G H Wong · 1×
Citations per year, relative to G H Wong
G H Wong · 1×

Countries citing papers authored by G H Wong

Since Specialization
Citations

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

Fields of papers citing papers by G H Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G H Wong. 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 G H Wong. The network helps show where G H Wong may publish in the future.

Co-authorship network of co-authors of G H Wong

This figure shows the co-authorship network connecting the top 25 collaborators of G H Wong. A scholar is included among the top collaborators of G H Wong 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 G H Wong. G H Wong 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
# Work Indexed citations
1 23
2 2
3 1
4 37
5 301
6 13
7 24
8 151
9 34
10 3
11 6
12
A novel domain within the 55 kd TNF receptor signals cell death breakdown →
1075
13 53
14 114
15 88
16
Molecular cloning and expression of a receptor for human tumor necrosis factor breakdown →
852
17 112
18 253
19 3
20 6

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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