M. Michael Sigel

3.2k total citations
129 papers, 2.3k citations indexed

About

M. Michael Sigel is a scholar working on Immunology, Molecular Biology and Genetics. According to data from OpenAlex, M. Michael Sigel has authored 129 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Immunology, 32 papers in Molecular Biology and 23 papers in Genetics. Recurrent topics in M. Michael Sigel's work include Animal Virus Infections Studies (18 papers), Virus-based gene therapy research (16 papers) and Aquaculture disease management and microbiota (14 papers). M. Michael Sigel is often cited by papers focused on Animal Virus Infections Studies (18 papers), Virus-based gene therapy research (16 papers) and Aquaculture disease management and microbiota (14 papers). M. Michael Sigel collaborates with scholars based in United States, Italy and United Kingdom. M. Michael Sigel's co-authors include J. HARRINGTON CALKINS, L. William Clem, T. Lin, Edward W. Voss, Howard R. Nankin, Diana M. Lopez, Clare Bradshaw, Tu Lin, Anthony J. Girardi and Edgar M. Huggins and has published in prestigious journals such as Nature, Science and New England Journal of Medicine.

In The Last Decade

M. Michael Sigel

124 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Michael Sigel United States 23 997 462 424 306 260 129 2.3k
D M Parrott United Kingdom 33 1.7k 1.7× 311 0.7× 555 1.3× 395 1.3× 268 1.0× 110 3.7k
M R Brandon Australia 31 1.6k 1.6× 250 0.5× 556 1.3× 392 1.3× 103 0.4× 77 3.0k
Graham Mayrhofer Australia 38 1.9k 1.9× 282 0.6× 643 1.5× 260 0.8× 952 3.7× 106 4.5k
Shigeo Honjo Japan 21 584 0.6× 311 0.7× 161 0.4× 158 0.5× 232 0.9× 109 1.7k
Wolfgang Leibold Germany 29 1.3k 1.3× 469 1.0× 440 1.0× 252 0.8× 375 1.4× 142 3.2k
R. D. Hunt United States 30 1.3k 1.3× 1.5k 3.4× 433 1.0× 350 1.1× 1.0k 3.9× 103 4.4k
Jeffrey Pudney United States 31 902 0.9× 772 1.7× 525 1.2× 407 1.3× 548 2.1× 58 3.4k
Thomas Wegmann Canada 25 3.2k 3.2× 382 0.8× 339 0.8× 268 0.9× 90 0.3× 53 4.3k
Ernst Heinen Belgium 30 1.8k 1.8× 302 0.7× 2.1k 5.0× 290 0.9× 250 1.0× 155 4.9k
Douglas N. Foster United States 30 630 0.6× 353 0.8× 1.4k 3.3× 739 2.4× 146 0.6× 99 3.3k

Countries citing papers authored by M. Michael Sigel

Since Specialization
Citations

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

Fields of papers citing papers by M. Michael Sigel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Michael Sigel

This figure shows the co-authorship network connecting the top 25 collaborators of M. Michael Sigel. A scholar is included among the top collaborators of M. Michael Sigel 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. Michael Sigel. M. Michael Sigel 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.
Sigel, M. Michael, Carolina Muñoz‐Grajales, Maria Carmela Tartaglia, et al.. (2025). Predicting anxiety and depression in systemic lupus erythematosus: the role of inflammation, sociodemographic variables and clinical factors. Seminars in Arthritis and Rheumatism. 73. 152718–152718.
2.
Newell, K. David, et al.. (2009). Field tests prove microscale NRU to upgrade low-btu gas. Oil & gas journal. 107(40). 44–53.
3.
Hunt, Richard C., et al.. (1993). Cytokines cause cultured retinal pigment epithelial cells to secrete metalloproteinases and to contract collagen gels.. PubMed. 34(11). 3179–86. 50 indexed citations
4.
Huggins, Edgar M., et al.. (1993). Regulation of Mitogen-Driven Lymphoreticular Cell Activation by Human Corneal Cells and Interleukin-1. Cornea. 12(1). 46–53. 4 indexed citations
5.
Wang, Deli, Madan L. Nagpal, J. HARRINGTON CALKINS, et al.. (1991). Interleukin-1β Induces Interleukin-lα Messenger Ribonucleic Acid Expression in Primary Cultures of Leydig Cells*. Endocrinology. 129(6). 2862–2866. 40 indexed citations
6.
CALKINS, J. HARRINGTON, et al.. (1990). Interleukin-2 Is a Potent Inhibitor of Ley dig Cell Steroidogenesis*. Endocrinology. 127(3). 1234–1239. 65 indexed citations
7.
CALKINS, J. HARRINGTON, et al.. (1990). Tumor necrosis factor-α enhances inhibitory effects of interleukin-1β on Leydig cell steroidogenesis. Biochemical and Biophysical Research Communications. 166(3). 1313–1318. 48 indexed citations
8.
CALKINS, J. HARRINGTON, M. Michael Sigel, Howard R. Nankin, & T. Lin. (1988). Interleukin-1 Inhibits Leydig Cell Steroidogenesis in Primary Culture*. Endocrinology. 123(3). 1605–1610. 170 indexed citations
9.
Block, Norman L., et al.. (1978). The initiation, progress, and diagnosis of dog bladder cancer induced by 4-aminobiphenyl.. Munich Personal RePEc Archive (Ludwig Maximilian University of Munich). 16(1). 50–4. 12 indexed citations
10.
Epstein, Robert S., et al.. (1976). Emergence of a subpopulation of lymphocytes bearing θ antigen and complement receptor during tumor growth. International Journal of Cancer. 18(4). 458–461. 7 indexed citations
11.
Harisdangkul, Valee, Elvin A. Kabat, Robert J. McDonough, & M. Michael Sigel. (1972). A protein in normal nurse shark serum which reacts specifically with fructosans. I. Purification and immunochemical characterization.. PubMed. 108(5). 1244–58. 13 indexed citations
12.
Harisdangkul, Valee, Elvin A. Kabat, Robert J. McDonough, & M. Michael Sigel. (1972). A protein in normal nurse shark serum which reacts specifically with fructosans. II. Physicochemical studies.. PubMed. 108(5). 1259–70. 14 indexed citations
13.
Sigel, M. Michael, et al.. (1963). A NEW INFLUENZA VIRUS ASSOCIATED WITH EQUINE RESPIRATORY DISEASE.. PubMed. 143. 587–90. 199 indexed citations
14.
Sigel, M. Michael, et al.. (1960). Heterologous Transplantation for Demonstration of the Oncogenic Effect of Rous Sarcoma Virus. Cancer Research. 20(9). 1338–1340. 7 indexed citations
15.
Sigel, M. Michael, et al.. (1955). The Interaction of Meningopneumonitis Virus and Krebs-2 Carcinoma. The Journal of Immunology. 75(5). 386–390. 3 indexed citations
16.
Bernstein, Alan & M. Michael Sigel. (1955). The Interaction of Meningopneumonitis Virus and Krebs 2 Carcinoma. The Journal of Immunology. 75(5). 377–385. 2 indexed citations
17.
Sigel, M. Michael, et al.. (1953). Studies on the Psittacosis-Lymphogranuloma Group. The Journal of Immunology. 71(6). 436–440. 5 indexed citations
18.
Girardi, Anthony J., et al.. (1953). STUDIES ON THE PSITTACOSIS-LYMPHOGRANULOMA GROUP. The Journal of Experimental Medicine. 97(6). 783–795. 10 indexed citations
19.
Girardi, Anthony J., et al.. (1952). STUDIES ON THE PSITTACOSIS-LYMPHOGRANULOMA GROUP. The Journal of Experimental Medicine. 96(3). 233–246. 20 indexed citations
20.
Sigel, M. Michael, et al.. (1951). STUDIES ON THE PSITTACOSIS-LYMPHOGRANULOMA GROUP. The Journal of Experimental Medicine. 94(5). 401–413. 20 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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