Robert M. Zsigray

440 total citations
24 papers, 369 citations indexed

About

Robert M. Zsigray is a scholar working on Genetics, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Robert M. Zsigray has authored 24 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Genetics, 9 papers in Molecular Biology and 9 papers in Animal Science and Zoology. Recurrent topics in Robert M. Zsigray's work include Animal Virus Infections Studies (8 papers), Microbial infections and disease research (7 papers) and Bacteriophages and microbial interactions (6 papers). Robert M. Zsigray is often cited by papers focused on Animal Virus Infections Studies (8 papers), Microbial infections and disease research (7 papers) and Bacteriophages and microbial interactions (6 papers). Robert M. Zsigray collaborates with scholars based in United States. Robert M. Zsigray's co-authors include W.M. Collins, W. R. Dunlop, W. Elwood Briles, Otto E. Landman, E F Landry, Irving L. Miller, William R. Chesbro, David W. Brown, Kacper Żukowski and William D. Lawton and has published in prestigious journals such as Journal of Virology, Journal of Bacteriology and Infection and Immunity.

In The Last Decade

Robert M. Zsigray

23 papers receiving 333 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Robert M. Zsigray United States 11 188 113 97 91 78 24 369
S. McLeod United States 10 138 0.7× 74 0.7× 65 0.7× 84 0.9× 155 2.0× 13 359
W.M. Collins United States 16 514 2.7× 169 1.5× 91 0.9× 169 1.9× 145 1.9× 54 722
Paul F. Cotter United States 11 204 1.1× 21 0.2× 39 0.4× 109 1.2× 49 0.6× 35 382
A. Vuillaume France 11 104 0.6× 23 0.2× 29 0.3× 147 1.6× 59 0.8× 20 320
Evelyne Esnault France 13 106 0.6× 36 0.3× 83 0.9× 122 1.3× 147 1.9× 19 353
S H Parry United Kingdom 12 128 0.7× 23 0.2× 118 1.2× 47 0.5× 43 0.6× 13 324
Kathryn M. MacKinnon United States 12 157 0.8× 34 0.3× 90 0.9× 190 2.1× 42 0.5× 15 467
H. Mark Engelking United States 12 160 0.9× 124 1.1× 140 1.4× 302 3.3× 49 0.6× 14 469
Andrea M. Miles United States 8 92 0.5× 40 0.4× 70 0.7× 37 0.4× 115 1.5× 9 265
Leon J. Lewandowski United States 13 86 0.5× 191 1.7× 317 3.3× 53 0.6× 105 1.3× 23 567

Countries citing papers authored by Robert M. Zsigray

Since Specialization
Citations

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

Fields of papers citing papers by Robert M. Zsigray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Robert M. Zsigray

This figure shows the co-authorship network connecting the top 25 collaborators of Robert M. Zsigray. A scholar is included among the top collaborators of Robert M. Zsigray 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 Robert M. Zsigray. Robert M. Zsigray 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
1.
Collins, W.M., et al.. (1995). B-Complex Recombinants and Sarcoma Regression: Role of B-L/B-F Region Genes. Poultry Science. 74(3). 434–440. 5 indexed citations
2.
Chesbro, William R., et al.. (1994). Electro-transformation of Clostridium beijerinckii NRRL B-592 with shuttle plasmid pHR106 and recombinant derivatives. Applied Microbiology and Biotechnology. 41(1). 32–38. 9 indexed citations
3.
Chesbro, William R., et al.. (1994). Electro-transformation of Clostridium beijerinckii NRRL B-592 with shuttle plasmid pHR106 and recombinant derivatives. Applied Microbiology and Biotechnology. 41(1). 32–38. 2 indexed citations
4.
Collins, W.M., et al.. (1993). Influence of different B‐complex recombinants on the outcome of Rous sarcomas in chickens. Animal Genetics. 24(3). 177–181. 13 indexed citations
5.
Chesbro, William R., et al.. (1989). Protoplast formation, L-colony growth, and regeneration ofClostridium beijerinckii NRRL B-592 and B-593 andClostridium acetobutylicum ATCC 10132. Journal of Industrial Microbiology & Biotechnology. 4(4). 325–331. 4 indexed citations
6.
Allen, John R., William R. Chesbro, & Robert M. Zsigray. (1987). Mobilization of the Vwa plasmid of Yersinia pestis by F-containing strains of Escherichia coli.. PubMed. 9. 332–41. 3 indexed citations
7.
Collins, W.M., et al.. (1986). Metastasis of Rous Sarcoma Tumors in Chickens is Influenced by the Major Histocompatibility (B) Complex and Sex. Poultry Science. 65(9). 1642–1648. 7 indexed citations
8.
Zsigray, Robert M., et al.. (1985). Integration of the Vwa plasmid into the chromosome of Yersinia pestis strains harboring F' plasmids of Escherichia coli. Infection and Immunity. 47(3). 670–673. 13 indexed citations
9.
Maratea, D., Robert M. Zsigray, & David L. Balkwill. (1985). Characterization ofBacillus subtilis phage 41c. Current Microbiology. 12(5). 261–265. 1 indexed citations
10.
Brown, David W., W.M. Collins, Robert M. Zsigray, & W. Elwood Briles. (1984). A Non-MHC Genetic Influence on Response to Rous Sarcoma Virus-Induced Tumors in Chickens. Avian Diseases. 28(4). 884–884. 10 indexed citations
11.
Collins, W.M. & Robert M. Zsigray. (1984). Genetics of the response to Rous sarcoma virus‐induced tumours in chickens*. Animal Blood Groups and Biochemical Genetics. 15(2). 159–171. 8 indexed citations
12.
Zsigray, Robert M., William D. Lawton, & Michael J. Surgalla. (1983). Repression of the Virulence of Yersinia pestis by an F' Plasmid. Infection and Immunity. 39(2). 974–976. 6 indexed citations
13.
Guyre, Paul M., Robert M. Zsigray, W.M. Collins, & W. R. Dunlop. (1982). Major Histocompatibility Complex (B): Effect on the Response of Chickens to a Second Challenge with Rous Sarcoma Virus. Poultry Science. 61(5). 829–834. 8 indexed citations
14.
Zsigray, Robert M., et al.. (1981). Cross-reactivity between RSV-induced tumor antigen and B5 MHC alloantigen in the chicken. Immunogenetics. 13(1-2). 29–37. 16 indexed citations
15.
Landry, E F & Robert M. Zsigray. (1980). Effects of Calcium on the Lytic Cycle of Bacillus subtilis Phage 41c. Journal of General Virology. 51(1). 125–135. 22 indexed citations
16.
Collins, W.M., et al.. (1979). B locus (MHC) effect upon regression of RSV-induced tumors in noninbred chickens. Immunogenetics. 9(1). 97–100. 24 indexed citations
17.
Collins, W.M., et al.. (1978). Lymphocytotoxicity of Chickens Bearing Rous Sarcomas ,. Poultry Science. 57(1). 90–94. 3 indexed citations
18.
Collins, W.M., et al.. (1977). TheB locus (MHC) in the chicken: Association with the fate of RSV-induced tumors. Immunogenetics. 5(1). 333–343. 125 indexed citations
19.
Zsigray, Robert M., et al.. (1973). Penetration of a Bacteriophage into Bacillus subtilis : Blockage of Infection by Deoxyribonuclease. Journal of Virology. 11(1). 69–77. 9 indexed citations
20.
Zsigray, Robert M., George E. Fulk, & William D. Lawton. (1970). Separation of Donor and Recipient Bacteria by Column Chromatography. Journal of Bacteriology. 103(2). 302–304. 1 indexed citations

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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