Matteo Palmeri

4.4k total citations · 1 hit paper
70 papers, 1.1k citations indexed

About

Matteo Palmeri is a scholar working on Oncology, Surgery and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Matteo Palmeri has authored 70 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Oncology, 47 papers in Surgery and 27 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Matteo Palmeri's work include Pancreatic and Hepatic Oncology Research (29 papers), Pancreatitis Pathology and Treatment (18 papers) and Colorectal Cancer Surgical Treatments (12 papers). Matteo Palmeri is often cited by papers focused on Pancreatic and Hepatic Oncology Research (29 papers), Pancreatitis Pathology and Treatment (18 papers) and Colorectal Cancer Surgical Treatments (12 papers). Matteo Palmeri collaborates with scholars based in Italy, United Kingdom and United States. Matteo Palmeri's co-authors include Gregorio Di Franco, Luca Morelli, Simone Guadagni, Giulio Di Candio, Franco Mosca, Niccolò Furbetta, Matteo Bianchini, Desirée Gianardi, Giovanni Caprili and Andrea Moglia and has published in prestigious journals such as Nutrients, World Journal of Gastroenterology and Journal of the American College of Surgeons.

In The Last Decade

Matteo Palmeri

65 papers receiving 1.0k 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.

Real-world application of tumor mutational burden-high (TMB-high) and microsatellite instability (MSI) confirms their utility as immunotherapy biomarkers

2021 196 citations Matteo Palmeri et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Matteo Palmeri Italy	17	582	559	401	147	117	70	1.1k
Shiu-Feng Huang Taiwan	20	339 0.6×	431 0.8×	292 0.7×	241 1.6×	120 1.0×	42	1.1k
Soichi Murakami Japan	18	903 1.6×	528 0.9×	359 0.9×	173 1.2×	121 1.0×	80	1.3k
Maximilian Weniger Germany	16	562 1.0×	440 0.8×	210 0.5×	155 1.1×	108 0.9×	38	982
Natsuko Kawada Japan	19	454 0.8×	653 1.2×	498 1.2×	76 0.5×	69 0.6×	43	1.3k
Giacomo Puppa Switzerland	16	961 1.7×	386 0.7×	340 0.8×	185 1.3×	125 1.1×	50	1.3k
G. Monges France	20	892 1.5×	977 1.7×	694 1.7×	224 1.5×	122 1.0×	79	1.9k
Huaiyin Shi China	18	282 0.5×	192 0.3×	359 0.9×	256 1.7×	142 1.2×	85	1.0k
Zhen Huang China	18	480 0.8×	321 0.6×	267 0.7×	249 1.7×	182 1.6×	104	1.2k
Sibel Erdamar Türkiye	19	235 0.4×	392 0.7×	273 0.7×	152 1.0×	80 0.7×	60	862
Olli Helminen Finland	20	384 0.7×	497 0.9×	319 0.8×	156 1.1×	126 1.1×	90	1.1k

Countries citing papers authored by Matteo Palmeri

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Palmeri

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Palmeri

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

All Works

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20 of 20 papers shown

Guadagni, Simone, Annalisa Comandatore, Niccolò Furbetta, et al.. (2024). The Current Role of Single-Site Robotic Approach in Liver Resection: A Systematic Review. Life. 14(7). 894–894. 2 indexed citations

Guadagni, Simone, Andrea Peri, Matteo Palmeri, et al.. (2023). Surgical treatment of recurrent retroperitoneal sarcoma in its different patterns: A 15-years’ two-centers experience. The Surgeon. 21(5). e249–e257.

Guadagni, Simone, Annalisa Comandatore, Niccolò Furbetta, et al.. (2023). Robotic Hepatectomy plus Biliary Reconstruction for Bismuth Type III and Type IV Hilar Cholangiocarcinoma: State of the Art and Literature Review. Journal of Personalized Medicine. 14(1). 12–12. 2 indexed citations

Morelli, Luca, Gregorio Di Franco, Niccolò Furbetta, et al.. (2023). Delayed gastric emptying after pylorus‐preserving pancreatoduodenectomy: Comparison between traditional open surgery and full‐robotic approach with da Vinci Xi. International Journal of Medical Robotics and Computer Assisted Surgery. 20(1). e2571–e2571. 1 indexed citations

Palmeri, Matteo, Niccolò Furbetta, Gregorio Di Franco, et al.. (2022). Comparison of different pancreatic stump management strategies during robot‐assisted distal pancreatectomy. International Journal of Medical Robotics and Computer Assisted Surgery. 19(1). e2470–e2470. 5 indexed citations

Franco, Gregorio Di, Matteo Palmeri, Luca Emanuele Pollina, et al.. (2022). Zebrafish Patient-Derived Xenograft Model to Predict Treatment Outcomes of Colorectal Cancer Patients. Biomedicines. 10(7). 1474–1474. 16 indexed citations

Palmeri, Matteo, Andrea Peri, Niccolò Furbetta, et al.. (2022). Pattern of recurrence and survival after D2 right colectomy for cancer: is there place for a routine more extended lymphadenectomy?. Updates in Surgery. 74(4). 1327–1335. 1 indexed citations

Franco, Gregorio Di, Luca Emanuele Pollina, Caterina Vivaldi, et al.. (2021). Zebrafish Patient-Derived Xenografts Identify Chemo-Response in Pancreatic Ductal Adenocarcinoma Patients. Cancers. 13(16). 4131–4131. 13 indexed citations

Palmeri, Matteo, Gregorio Di Franco, Matteo Bianchini, et al.. (2021). Prognostic impact of conservative surgery for pancreatic IPMNs. Surgical Oncology. 38. 101582–101582. 6 indexed citations

10.

Morelli, Luca, Niccolò Furbetta, Desirée Gianardi, et al.. (2020). Use of barbed suture without fashioning the “classical” Wirsung-jejunostomy in a modified end-to-side robotic pancreatojejunostomy. Surgical Endoscopy. 35(2). 955–961. 16 indexed citations

11.

Bianchini, Matteo, Maria Concetta Scavuzzo, Gregorio Di Franco, et al.. (2020). The occurrence of prion protein in surgically resected pancreatic adenocarcinoma. Pancreatology. 20(6). 1218–1225. 6 indexed citations

12.

Franco, Gregorio Di, Luca Emanuele Pollina, Enrico Vasile, et al.. (2020). A Model of a Zebrafish Avatar for Co-Clinical Trials. Cancers. 12(3). 677–677. 43 indexed citations

13.

Morelli, Luca, Simone Guadagni, Desirée Gianardi, et al.. (2019). Gray-scale, Doppler and contrast-enhanced ultrasound in pancreatic allograft surveillance: A systematic literature review. Transplantation Reviews. 33(3). 166–172. 3 indexed citations

14.

Morelli, Luca, Raffaella Berchiolli, Simone Guadagni, et al.. (2018). Pancreatoduodenectomy without Vascular Resection in Patients with Primary Resectable Adenocarcinoma and Unilateral Venous Contact: A Matched Case Study. Gastroenterology Research and Practice. 2018. 1–8. 3 indexed citations

15.

Guadagni, Simone, Gregorio Di Franco, Desirée Gianardi, et al.. (2018). Control Comparison of the New EndoWrist and Traditional Laparoscopic Staplers for Anterior Rectal Resection with the Da Vinci Xi: A Case Study. Journal of Laparoendoscopic & Advanced Surgical Techniques. 28(12). 1422–1427. 12 indexed citations

16.

Morelli, Luca, Simone Guadagni, Gregorio Di Franco, et al.. (2016). Use of the new da Vinci Xi® during robotic rectal resection for cancer: a pilot matched-case comparison with the da Vinci Si®. International Journal of Medical Robotics and Computer Assisted Surgery. 13(1). e1728–e1728. 49 indexed citations

17.

Morelli, Luca, Dario Tartaglia, Matteo Palmeri, et al.. (2016). Robotic assisted versus pure laparoscopic surgery of the adrenal glands: a case-control study comparing surgical techniques. CINECA IRIS Institutial research information system (University of Pisa). 44 indexed citations

18.

Morelli, Luca, John N. Morelli, Matteo Palmeri, et al.. (2015). Robotic surgery and hemostatic agents in partial nephrectomy: a high rate of success without vascular clamping. Journal of Robotic Surgery. 9(3). 215–222. 4 indexed citations

19.

Morelli, Luca, Simone Guadagni, Gregorio Di Franco, et al.. (2015). Da Vinci single site© surgical platform in clinical practice: a systematic review. International Journal of Medical Robotics and Computer Assisted Surgery. 12(4). 724–734. 43 indexed citations

20.

Morelli, Luca, A Perutelli, Matteo Palmeri, et al.. (2015). Robot-assisted surgery for the radical treatment of deep infiltrating endometriosis with colorectal involvement: short- and mid-term surgical and functional outcomes. International Journal of Colorectal Disease. 31(3). 643–652. 35 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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