Melissa Tuck

2.5k total citations · 1 hit paper
13 papers, 1.9k citations indexed

About

Melissa Tuck is a scholar working on Pathology and Forensic Medicine, Radiology, Nuclear Medicine and Imaging and Oncology. According to data from OpenAlex, Melissa Tuck has authored 13 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Pathology and Forensic Medicine, 5 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Oncology. Recurrent topics in Melissa Tuck's work include Lymphoma Diagnosis and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Melissa Tuck is often cited by papers focused on Lymphoma Diagnosis and Treatment (7 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Radiopharmaceutical Chemistry and Applications (3 papers). Melissa Tuck collaborates with scholars based in United States, Norway and Australia. Melissa Tuck's co-authors include Mark Kaminski, Judith Estes, Richard L. Wahl, Denise Regan, Susan J. Fisher, Kenneth Zasadny, Charles W. Ross, Stewart Kroll, Isaac R. Francis and Arne Kolstad and has published in prestigious journals such as New England Journal of Medicine, Journal of Clinical Oncology and Blood.

In The Last Decade

Melissa Tuck

13 papers receiving 1.8k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Standard Operating Procedures for Serum and Plasma Collection: Early Detection Research Network Consensus Statement Standard Operating Procedure Integration Working Group

2008 568 citations Melissa Tuck, Daniel W. Chan et al. Journal of Proteome Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Melissa Tuck United States	10	900	896	519	356	334	13	1.9k
David P. Houchens United States	21	220 0.2×	505 0.6×	692 1.3×	331 0.9×	485 1.5×	41	1.8k
Robert J. Spiegel United States	23	374 0.4×	130 0.1×	611 1.2×	268 0.8×	800 2.4×	73	2.2k
Hiroaki Kobayashi Japan	32	289 0.3×	258 0.3×	728 1.4×	577 1.6×	692 2.1×	241	3.8k
Pedro C. Lara Spain	29	132 0.1×	477 0.5×	644 1.2×	452 1.3×	590 1.8×	107	2.0k
Philipp B. Staber Austria	23	395 0.4×	101 0.1×	593 1.1×	203 0.6×	804 2.4×	88	1.9k
Daniel S. Higginson United States	22	410 0.5×	156 0.2×	395 0.8×	468 1.3×	861 2.6×	63	2.2k
John J. Rinehart United States	27	266 0.3×	196 0.2×	988 1.9×	461 1.3×	1.0k 3.0×	67	2.9k
Akari Suzuki Japan	37	210 0.2×	419 0.5×	506 1.0×	215 0.6×	1.1k 3.3×	100	3.6k
Yasuhiro Ogawa Japan	25	271 0.3×	401 0.4×	309 0.6×	350 1.0×	478 1.4×	175	2.1k
Sung‐Hoon Jung South Korea	25	297 0.3×	111 0.1×	874 1.7×	205 0.6×	616 1.8×	161	2.0k

Countries citing papers authored by Melissa Tuck

Since Specialization

Citations

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

Fields of papers citing papers by Melissa Tuck

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Melissa Tuck. 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 Melissa Tuck. The network helps show where Melissa Tuck may publish in the future.

Co-authorship network of co-authors of Melissa Tuck

This figure shows the co-authorship network connecting the top 25 collaborators of Melissa Tuck. A scholar is included among the top collaborators of Melissa Tuck 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 Melissa Tuck. Melissa Tuck is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

13 of 13 papers shown

1.

Pedersen, Susanne K., Benjamin Musher, Lawrence C. LaPointe, et al.. (2022). Detection of recurrent colorectal cancer with high specificity using a reporting threshold for circulating tumor DNA methylated in BCAT1 and IKZF1. Cancer. 128(10). 1921–1928. 11 indexed citations

2.

Musher, Benjamin, Joshua Melson, David W. Chan, et al.. (2020). Evaluation of Circulating Tumor DNA for Methylated BCAT1 and IKZF1 to Detect Recurrence of Stage II/Stage III Colorectal Cancer (CRC). Cancer Epidemiology Biomarkers & Prevention. 29(12). 2702–2709. 25 indexed citations

3.

Bresalier, Robert S., James C. Byrd, Dean E. Brenner, et al.. (2017). A Blood-Based Marker Panel for Detection of Colorectal Neoplasia. Gastroenterology. 152(5). S1316–S1316. 1 indexed citations

4.

Ruffin, Mack T., Daniel P. Normolle, John A. Baron, et al.. (2011). Rectal mucosal quantitative galactose oxidase-Schiff reaction as an early detection biomarker for colorectal cancer: Comparison to fecal occult stool blood test. Cancer Biomarkers. 8(2). 109–112. 1 indexed citations

5.

Kaminski, Mark, Melissa Tuck, Judith Estes, et al.. (2009). Tositumomab and Iodine I-131 Tositumomab for Previously Untreated, Advanced-Stage, Follicular Lymphoma: Median 10 Year Follow-up Results.. Blood. 114(22). 3759–3759. 19 indexed citations

6.

Tuck, Melissa, Daniel W. Chan, David Chia, et al.. (2008). Standard Operating Procedures for Serum and Plasma Collection: Early Detection Research Network Consensus Statement Standard Operating Procedure Integration Working Group. Journal of Proteome Research. 8(1). 113–117. 568 indexed citations breakdown →

7.

Kaminski, Mark, Judith Estes, Melissa Tuck, C. W. Ross, & Richard L. Wahl. (2007). I131-tositumomab monotherapy as frontline treatment for follicular lymphoma: Updated results after a median follow-up of 8 years. Journal of Clinical Oncology. 25(18_suppl). 8033–8033. 10 indexed citations

8.

Kaminski, Mark, Melissa Tuck, Judith Estes, et al.. (2005). ¹³¹I-Tositumomab Therapy as Initial Treatment for Follicular Lymphoma. New England Journal of Medicine. 352(5). 441–449. 494 indexed citations

9.

Nordøy, Tone, Arne Kolstad, Melissa Tuck, et al.. (2001). Radioimmunotherapy with Iodine-131 Tositumomab in Patients with Low-Grade Non-Hodgkin's B-Cell Lymphoma Does Not Induce Loss of Acquired Humoral Immunity against Common Antigens. Clinical Immunology. 100(1). 40–48. 9 indexed citations

10.

Kaminski, Mark, Judith Estes, Kenneth Zasadny, et al.. (2000). Radioimmunotherapy with iodine 131I tositumomab for relapsed or refractory B-cell non-Hodgkin lymphoma: updated results and long-term follow-up of the University of Michigan experience. Blood. 96(4). 1259–1266. 400 indexed citations

11.

Kaminski, Mark, Judith Estes, Kenneth Zasadny, et al.. (2000). Radioimmunotherapy with iodine 131I tositumomab for relapsed or refractory B-cell non-Hodgkin lymphoma: updated results and long-term follow-up of the University of Michigan experience. Blood. 96(4). 1259–1266. 17 indexed citations

12.

Kaminski, Mark, Kenneth Zasadny, Isaac R. Francis, et al.. (1996). Iodine-131-anti-B1 radioimmunotherapy for B-cell lymphoma.. Journal of Clinical Oncology. 14(7). 1974–1981. 327 indexed citations

13.

Hammel, James M., et al.. (1994). Effect of Interleukin-l?? on the In Vitro Activation of Tumor-Draining Lymph Node Cells for Adoptive Immunotherapy. Journal of Immunotherapy. 16(1). 1–12. 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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