Michael Gaisa

1.2k total citations
38 papers, 642 citations indexed

About

Michael Gaisa is a scholar working on Surgery, Epidemiology and Oncology. According to data from OpenAlex, Michael Gaisa has authored 38 papers receiving a total of 642 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Surgery, 31 papers in Epidemiology and 13 papers in Oncology. Recurrent topics in Michael Gaisa's work include Colorectal and Anal Carcinomas (30 papers), Cervical Cancer and HPV Research (27 papers) and Viral-associated cancers and disorders (11 papers). Michael Gaisa is often cited by papers focused on Colorectal and Anal Carcinomas (30 papers), Cervical Cancer and HPV Research (27 papers) and Viral-associated cancers and disorders (11 papers). Michael Gaisa collaborates with scholars based in United States, Australia and United Kingdom. Michael Gaisa's co-authors include Keith Sigel, Yuxin Liu, Ashish A. Deshmukh, Stephen E. Goldstone, Kalyani Sonawane, Ryan Suk, Joel M. Palefsky, Meredith S. Shiels, Alan G. Nyitray and Richard Silvera and has published in prestigious journals such as Gastroenterology, JNCI Journal of the National Cancer Institute and Cancer.

In The Last Decade

Michael Gaisa

32 papers receiving 633 citations

Peers

Michael Gaisa
Comparison fields: 5 of 52
  • Surgery 460
  • Epidemiology 443
  • Oncology 198
  • Infectious Diseases 95
  • Pulmonary and Respiratory Medicine 40
Replace Camille Zallot with:
Camille Zallot France
Tara Hylton United States
D. de Weck Switzerland
Jacob Cherian United States
Mukendi Kayembe Botswana
Jie Ting United States
T. Fisch Switzerland
Yuxin Liu United States
Tina Bech Olesen Denmark
E Rowińska-Zakrzewska Poland
Camille Zallot France View profile →
Citations per field, relative to Michael Gaisa
Michael Gaisa · 1×
Citations per year, relative to Michael Gaisa
Michael Gaisa · 1×

Countries citing papers authored by Michael Gaisa

Since Specialization
Citations

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

Fields of papers citing papers by Michael Gaisa

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Gaisa

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Gaisa. A scholar is included among the top collaborators of Michael Gaisa 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 Michael Gaisa. Michael Gaisa 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 4
2 0
3 0
4 4
5 13
6 4
7 3
8 4
9
Immunologic characteristics of acute COVID-19 in people with HIV
0
10 2
11 70
12 13
13 8
14 13
15 12
16 27
17 5
18 3
19 50
20 0

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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