M. F. McLane

3.2k citations
25 papers · 2.6k indexed · 1 hit paper · h-index 17
Topics
T-cell and Retrovirus Studies (14 papers)Animal Disease Management and Epidemiology (13 papers)Vector-Borne Animal Diseases (11 papers)

In The Last Decade

M. F. McLane

24 papers receiving 2.3k citations

Hit Papers

Major Glycoprotein Antigens That Induce Antibodies in AID...19852026199820121985100200300400

Peers

M. F. McLane
Comparison fields: 5 of 77
  • Virology 1.6k
  • Immunology 1.2k
  • Infectious Diseases 880
  • Epidemiology 684
  • Agronomy and Crop Science 476
Replace D Dina with:
D Dina United States
B Starcich Italy
Syed Zaki Salahuddin United States
P D Markham United States
Rachanee Cheingsong‐Popov United Kingdom
Jean‐Claude Gluckman France
D D Ho United States
Shirley Kwok United States
M Popovic United States
Birgitta Åsjö Sweden
M. F. McLane relative to D Dina United States D Dina's profile →
Citations per field
00.5×4.5×
D Dina · 1×
Citations per year

Countries citing papers authored by M. F. McLane

Since Specialization
Citations

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

Fields of papers citing papers by M. F. McLane

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. F. McLane

This figure shows the co-authorship network connecting the top 25 collaborators of M. F. McLane. A scholar is included among the top collaborators of M. F. McLane 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 M. F. McLane. M. F. McLane 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 16
2 91
3 114
4
Different subtypes of HIV-1 and cutaneous dendritic cells [3] (multiple letters)
10
5 9
6 25
7 79
8 6
9 3
10 44
11 198
12 179
13 209
14
Major Glycoprotein Antigens That Induce Antibodies in AIDS Patients Are Encoded by HTLV-IIIbreakdown →
487
15
HTLV and immunosuppression.
6
16 261
17
[Presence of anti-HTLV (human T-cell leukemia virus) antibodies in blood donors from Martinique].
0
18 76
19 5
20 224

About M. F. McLane

M. F. McLane is a scholar working on Virology, Agronomy and Crop Science and Immunology, having authored 25 papers that have together received 2.6k indexed citations. Recurring topics across this work include T-cell and Retrovirus Studies (14 papers), Animal Disease Management and Epidemiology (13 papers) and Vector-Borne Animal Diseases (11 papers). The work is most often cited by research in Virology (1.6k citations), Immunology (1.2k citations) and Infectious Diseases (880 citations). M. F. McLane has collaborated with scholars based in United States, Botswana and Nigeria. Frequent co-authors include Max Essex, John E. Craighead, Françis Barin, J.S. Allan, Tae Hoon Lee, Phyllis J. Kanki, Tun‐Hou Lee, Jonathan S. Allan, W A Haseltine and J E Coligan. Their work appears in journals such as Science, PLoS ONE and JNCI Journal of the National Cancer Institute.

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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