M V Hobbs

4.9k citations
69 papers · 4.2k indexed · 1 hit paper · h-index 29
Topics
T-cell and B-cell Immunology (30 papers)Immune Cell Function and Interaction (26 papers)Monoclonal and Polyclonal Antibodies Research (18 papers)

In The Last Decade

M V Hobbs

69 papers receiving 4.1k citations

Hit Papers

Intracellular Inactivation of the Hepatitis B Virus by Cy...19962026200620161996250500750

Peers

M V Hobbs
Comparison fields: 5 of 109
  • Immunology 2.2k
  • Epidemiology 1.5k
  • Hepatology 840
  • Molecular Biology 712
  • Infectious Diseases 406
Replace Elena Fattori with:
Elena Fattori Italy
Yuqiong Liang United States
Angela M. Thornton United States
Gloria González‐Aseguinolaza Spain
Nora Sarvetnick United States
Hanspeter Pircher Germany
Shomyseh Sanjabi United States
Marc J. Servant Canada
Kunio Hieshima Japan
Chen Varol Israel
M V Hobbs relative to Elena Fattori Italy Elena Fattori's profile →
Citations per field
00.5×2.6×
Elena Fattori · 1×
Citations per year

Countries citing papers authored by M V Hobbs

Since Specialization
Citations

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

Fields of papers citing papers by M V Hobbs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M V Hobbs

This figure shows the co-authorship network connecting the top 25 collaborators of M V Hobbs. A scholar is included among the top collaborators of M V Hobbs 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 V Hobbs. M V Hobbs 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 1
2 37
3 14
4 23
5 40
6
Intracellular Inactivation of the Hepatitis B Virus by Cytotoxic T Lymphocytesbreakdown →
907
7 84
8 1
9 59
10 1
11 13
12 325
13 4
14 22
15 55
16 2
17 27
18 13
19 16
20 37

About M V Hobbs

M V Hobbs is a scholar working on Immunology, Radiology, Nuclear Medicine and Imaging and Neurology, having authored 69 papers that have together received 4.2k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (30 papers), Immune Cell Function and Interaction (26 papers) and Monoclonal and Polyclonal Antibodies Research (18 papers). The work is most often cited by research in Hepatology (840 citations), Immunology (2.2k citations) and Virology (211 citations). M V Hobbs has collaborated with scholars based in United States, Italy and Germany. Frequent co-authors include Francis V. Chisari, Luca G. Guidotti, Tetsuya Ishikawa, Robert D. Schreiber, David Ernst, William O. Weigle, Daniel J. Noonan, W O Weigle, Iain L. Campbell and Michael B. A. Oldstone. Their work appears in journals such as Proceedings of the National Academy of Sciences, The Journal of Experimental Medicine and Blood.

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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