M E Hagensee

1.5k citations
19 papers · 1.3k · h-index 16

Impact in

    • Cervical Cancer and HPV Research
    • Hepatitis B Virus Studies
    • Fungal Infections and Studies

Papers in

    • Cervical Cancer and HPV Research 8
    • Bacterial Genetics and Biotechnology 2
    • Virus-based gene therapy research 2

M E Hagensee

19 papers receiving 1.2k citations

Peers

M E Hagensee
Comparison fields: 5 of 98
  • Epidemiology 772
  • Microbiology 82
  • Immunology 221
  • Virology 46
  • Infectious Diseases 164
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Citations per year

Countries citing papers authored by M E Hagensee

Since Specialization
Citations

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

Fields of papers citing papers by M E Hagensee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M E Hagensee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M E Hagensee Line = papers co-authored together M E Hagensee links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1 1993341
2 1994178
3 1997133
4 1994117
5
The relationship of human papillomavirus-related cervical tumors to cigarette smoking, oral contraceptive use, and prior herpes simplex virus type 2 infection.
1996111
6 199567
7 198767
8 200737
9 199934
10 200232
11 198630
12 198926
13 200524
14 198323
15
Campylobacter jejuni bacteremia and Guillain-Barré syndrome in a patient with GVHD after allogeneic BMT.
199421
16 198718
17 200811
18 199411
19
A fish hook and liver disease: revisiting an old enemy.
20025

About M E Hagensee

M E Hagensee is a scholar working on Epidemiology, Genetics, Immunology, Endocrinology and Surgery, having authored 19 papers that have together received 1.3k indexed citations. Recurring topics across this work include Cervical Cancer and HPV Research (8 papers), DNA Repair Mechanisms (4 papers), Bacterial Genetics and Biotechnology (2 papers), Genital Health and Disease (2 papers), Reproductive System and Pregnancy (2 papers), Bacteriophages and microbial interactions (2 papers), Virus-based gene therapy research (2 papers) and DNA and Nucleic Acid Chemistry (2 papers). The work is most often cited by research in Epidemiology (772 citations), Microbiology (82 citations), Immunology (221 citations), Virology (46 citations) and Infectious Diseases (164 citations). M E Hagensee has collaborated with scholars based in United States, South Africa and Colombia. Frequent co-authors include Denise A. Galloway, Nobuo Yaegashi, R E Moses, Jorgen Bauwens, RA Bowden, Barbara McKnight, Norman H. Olson, Timothy S. Baker, Margaret M. Madeleine and Anna Marie Beckmann. Their work appears in journals such as Journal of Bacteriology, Journal of Virology, Clinical Infectious Diseases, Journal of Immunological Methods and Obstetrics and Gynecology.

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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